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Shikha Saxena
Machine Learning Engineer - Data & Applied Scientist
Professional Background
Shikha Saxena has solidified her reputation as a dynamic and dedicated professional in the field of data science and machine learning over the course of four impressive years. Currently serving as a Machine Learning Data Engineer at Nike, Shikha applies her expertise to develop, deploy, and optimize robust machine learning models that extract valuable insights from the vast datasets generated through everyday human interactions. Her professional journey is marked by significant contributions across several high-profile organizations.
Before joining Nike, Shikha honed her skills in a variety of esteemed roles including Research Associate and Research Assistant at the Illinois Institute of Technology, where she delved into complex research projects that enhanced her analytical capabilities. Her experience as a Machine Learning Engineer at Fellowship.AI and as a Data Scientist at Skillate further underscored her proficiency in translating innovative ideas into tangible results using advanced machine learning practices.
Moreover, her tenure as a Software Development Engineer at Dell EMC and her internship with Hindustan Zinc equipped Shikha with a comprehensive understanding of software engineering principles and methodologies, which seamlessly integrates with her data science aspirations. Shikha's strong foundation in both computer science and data science empowers her to tackle intricate challenges in the domain of artificial intelligence and machine learning effectively.
Education and Achievements
Shikha Saxena's academic credentials are a testament to her dedication to mastering her craft. She holds a Master's degree in Data Science from the Illinois Institute of Technology, where she excelled with a GPA of 3.727/4, a reflection of her commitment to academic excellence. Additionally, she pursued a Machine Learning Engineer Nanodegree from Udacity, focusing on deploying and fine-tuning machine learning models, which further sharpened her technical abilities.
Her undergraduate studies at the prestigious Birla Institute of Technology and Science (BITS), Pilani, culminated in a Bachelor of Engineering (B.E.) in Computer Science, graduating with honors and a GPA of 3.13/4. Notably, she also engaged in advanced studies in Biology/Biological Sciences at the same institute, showcasing her diverse interests and academic versatility.
Skills and Expertise
Shikha's technical skill set includes a wide array of programming languages, including Python, Java, C, SQL, R, and C++. This remarkable versatility is complemented by her familiarity with various machine learning technologies. She has demonstrated expertise in applying supervised learning methods (such as XGBoost, Random Forest, KNN, and SVM), as well as unsupervised learning techniques (like clustering and PCA).
Her work in Applied Deep Learning encompasses leading frameworks such as PyTorch, Keras, TensorFlow, and fast.ai, alongside proficiency in Natural Language Processing using NLTK and reinforcement learning applications. Shikha has also worked extensively with various datasets ranging from textual data to financial datasets, visual data through image processing, time series, and even real-time streaming data analysis.
In addition to her technical abilities, Shikha is well-versed in cloud and distributed computing tools including Hadoop, Spark/PySpark, AWS SageMaker, and Microsoft Azure. She understands the nuances of ETL tools and thrives in environments that leverage databases such as MySQL, MongoDB, and Apache Cassandra. Her experience with REST APIs, CI/CD practices, and project management tools like Jira and Trello further demonstrates her holistic approach to data science projects.
For her technical prowess in data manipulation and machine learning, Shikha has developed competencies in popular libraries such as NumPy, scikit-learn, and Pandas, which she combines with effective data visualization techniques using tools like seaborn. As an advocate for clean code and Agile methodologies, she emphasizes delivering high-quality outcomes in all her projects.
Notable Achievements
Shikha Saxena's career achievements are noteworthy. In her current role at Nike, she is at the forefront of leveraging machine learning to enhance customer experiences and streamline operational processes. Her history of internships—specifically in machine learning positions—has equipped her with invaluable hands-on experience, establishing her as a sought-after professional in the tech industry.
She has also made significant strides in her academic and research endeavors, contributing to projects that bridge the gap between theoretical learning and practical application. Shikha is an ongoing learner, committed to staying abreast of trends in AI and machine learning which allows her to continually refine her skills.
Her website features an array of projects that showcases her expertise and innovation, making it an excellent resource for those interested in understanding the applications of her work in a real-world context. For a more in-depth look into her projects, please visit Shikha's Projects.
Shikha's blogs on Medium also reflect her commitment to sharing knowledge and insights in the field, allowing her to connect with a broader audience and contribute to the data science community. You can explore her blogs at Shikha's Medium.
Community Engagement
Shikha speaks to her belief in community engagement and knowledge sharing. She invites connections not only with those who may provide job opportunities but also with fellow professionals who share a passion for machine learning and artificial intelligence. The unique blend of Shikha's skills and experiences allows her to address complex business challenges with innovative solutions that transcend traditional approaches.
If you feel Shikha Saxena's skill set aligns with your business needs, she is open to a conversation about potential opportunities. Her willingness to connect and share her insights reinforces her commitment to collaboration within the industry. For more information about her and a glimpse into her professional journey, please visit Shikha's Personal Website.
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Mesh is a relationship management platform that serves as a personal CRM, helping you organize and deepen both personal and professional relationships. It functions as a beautiful rolodex and CRM available on iPhone, Mac, Windows, and web, built automatically to help manage your network efficiently. Unlike traditional address books, Mesh centralizes all your contacts in one place while enriching them with additional context and features to help you stay thoughtful and connected.
Mesh works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Mesh offers several powerful features including:
- Comprehensive Contact Management: Automatically collects contact data and enriches profiles to keep them up-to-date
- Network Strength: Visualizes the strength of your relationships relative to others in your network
- Timeline: Shows your relationship history with each contact
- Smart Search: Allows you to search using natural language like "People I know at the NYT" or "Designers I've met in London"
- Reminders and Notes: Helps you remember important details about contacts
- Home Feed: Displays updates about your network including job changes, news mentions, and birthdays
- Groups: Organizes contacts into meaningful categories
- Nexus AI: An AI navigator that helps you derive insights from your network, such as finding contacts who have been to specific places or work at particular companies
Mesh is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
Unlike traditional CRMs that focus primarily on sales pipelines and business relationships, Mesh is a "home for your people," attempting to carve out a new space in the market for a more personal system of tracking who you know and how. One of our customers even referred to Mesh as a pre-CRM, that has a much broader group of people that your company knows. Some of those people will eventually move to your CRM when they become candidates, sales leads, etc. Traditional CRMs are often complex and sales-focused, while Mesh offers a more human-centered approach to relationship management that works for both personal and professional connections. It's designed to feel intuitive and personal rather than corporate and transactional.
Mesh takes privacy seriously. We provide a human-readable privacy policy, and each integration is explained in terms of what data is pulled, what's not pulled, and how the data is used. Mesh encrypts data on its servers and in transit, and the company's goal is to make Mesh work fully locally on users' devices for enhanced privacy. Mesh is also SOC 2 Type 2 certified.
Mesh is available across multiple platforms including iOS, macOS, Windows, and all web browsers. Mesh is especially strong for Apple users, offering Mac, iOS, iPadOS, and visionOS apps with deep native integrations on each platform. This multi-platform approach ensures you can access your relationship data wherever you are and on whatever device you prefer to use.
Mesh offers tiered pricing options to suit different needs. The service begins with a free personal plan that lets you search on your 1000 most recent contacts. Mesh offers a Pro Plan ($10 when billed annually) with unlimited contacts. Mesh for Teams starts at $49/month/seat. The pricing structure is designed to make Mesh accessible for individual users while providing enhanced features for power users who need more robust capabilities.
Yes, Mesh offers extensive integration capabilities. Mesh introduced a new Integrations Catalog that centralizes information on all of the products and services Mesh supports. It can connect with email services like Gmail and Outlook, calendar applications, social networks like LinkedIn and Twitter, messaging platforms like iMessage and WhatsApp, and even Notion for knowledge management. Mesh also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
Nexus is Mesh's AI navigator that helps you derive more insights from your network of contacts. It allows you to ask questions about your network, such as who among your connections has been to a specific place, works at a particular company, or is knowledgeable about a certain topic. Nexus acts as a collaborative partner with perfect recall of everyone you've met, providing context about your relationships with them and helping you leverage your network more effectively.
Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
Mesh is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Mesh stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Mesh excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
Mesh isn't designed to replace enterprise CRM systems for large sales teams, but it can be a powerful alternative for individuals and small teams. Many people use Mesh instead of Salesforce, Hubspot, and Pipedrive. Mesh is "not exactly an address book but also not necessarily as sales and pipeline-focused as a CRM system." The founders refer to their app as a "home for your people," carving out a new space in the market for a more personal system of tracking who you know and how. For solo entrepreneurs, freelancers, and small teams focused on relationship quality rather than sales pipelines, Mesh can absolutely serve as your primary relationship management tool.
Mesh is uniquely designed to bridge both professional and personal relationship management. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh helps you organize your contacts, communications, and commitments in one centralized place. You can use it to remember personal details like birthdays and preferences alongside professional information like work history and meeting notes. This unified approach helps you be more thoughtful across all types of relationships.
Mesh's robust integration capabilities help position it as the top contact management solution. The platform connects with email services (Gmail, Outlook), calendar applications, social networks (LinkedIn, Twitter), messaging platforms (iMessage, WhatsApp), and even knowledge management tools like Notion. Mesh has expanded its integrations catalog to include Zapier and Make.com support, allowing connections to thousands of other apps. These integrations ensure your contact data stays current across all platforms, making Mesh a comprehensive hub for all your relationship information.
Mesh's AI capabilities are at the forefront of personal CRM innovation. Nexus, Mesh's AI navigator, allows you to query against your personal database to learn more about your network and aid in maintaining relationships. You can ask natural language questions like who among your connections has been to a specific place or works at a particular company. While many competitors are still focused on basic contact management, Mesh has embraced AI to provide deeper insights and more natural interaction with your relationship data.
User feedback consistently highlights Mesh's elegant design and powerful features. Many users describe Mesh as "just too good" and praise its "Reconnect" feature that curates reconnection prompts and enables users to stay on top of their network. Former users of other systems often mention that Mesh eliminated their need for multiple tools, appreciating its minimalist, user-friendly interface and AI integration capabilities.