I'm a passionate data scientist and AI enthusiast with a knack for turning complex data into actionable insights. With a strong foundation in computer science and specialized expertise in big data and AI, I thrive on challenges that push the boundaries of what's possible with data.At Meta, I'm currently revolutionizing Edge Network Services analysis through innovative graph traversal deployments and integrating cutting-edge LLaMA3 chatbots for streamlined network engineering. My experience spans from leveraging alternative data sources for real estate price predictions at PropertizeAI to consolidating decades of unstructured research data at NYU's Predictive Analytics and AI Group.My technical toolkit includes Python, R, SQL, TensorFlow, PyTorch, and various big data technologies. I'm adept at developing machine learning models, performing advanced statistical analyses, and creating intuitive data visualizations that tell compelling stories.What sets me apart is my ability to bridge the gap between technical complexity and business value. Whether it's optimizing recommendation systems, automating report generation with GPT-3, or developing trading simulations based on algorithmic news analysis, I'm always focused on delivering impactful results. If you're looking for someone who can transform your data into a competitive advantage, let's connect!
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Consultant - AnalyticsMetaNew York, Ny, Us
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Analytics ConsultantInfogain Apr 2024 - PresentFremont, California, United States- Developed LLaMA 3 based chatbot using predictive model for workstream delay forecasting, leveraging ensemble ML techniques and 40+ features to achieve 94% accuracy. Implemented survival analysis for delayed runs Hack, Thrift enhancing cross-network analytics- Optimized metric reporting across 4 workstreams, achieving 98.3% reporting accuracy through enhanced breakdown tracking and Task integration, streamlining workflow analysis and improving data visibility for Edge Network Services using Presto SQL queries on Hive -
Data Scientist (Research), Predictive Analytics And Ai GroupNew York University Mar 2023 - Mar 2024New York, New York, United States- Architected Big Data pipeline and Solr platform to consolidate 50+ years of unstructured LENR research content, enabling automated metadata extraction and topic modeling that identified over 300 new research opportunities with 17% improved accuracy.- Led a 12-student team to develop document analysis and feature engineering solutions, including LDA, BERTopic, and Top2Vec, that reduced manual processing time by 50% while generating over 45,000 features for additional corpus insights. -
Data Scientist (Alternative Data Sources)Propertizeai Jan 2023 - Jun 2023New York, New York, United States- Designed a recommendation platform that utilized statistical and machine learning models, along with alternative data on transportation, schools, and trends to achieve 25% improved accuracy in NYC property price predictions and generate over 1000 qualified leads.- Leveraged fine-tuned GPT-3 to automatically generate personalized property reports enhancing user experience. Integrated diverse data sources like CitiBike usage, school ratings, and social media responses to train price forecasting models. -
Campus Ambassador At NyuNova Credit Aug 2022 - Oct 2022New York, New York, United States• Spearheaded the outreach and education initiative on credit among NYU students by organizing and promoting informational events, workshops, and online resources.• Collaborated with Nova Credit's marketing team to design and implement effective communication strategies and materials that resonated with the student community.• Successfully increased awareness and engagement on credit-related topics, resulting in a 25% increase in sign-ups and inquiries for Nova Credit's services among NYU students. -
Software EngineerZs Nov 2020 - Aug 2021India- Developed 500+ test cases and automated using Selenium, Cucumber, SoapUI, and Postman for performance, security, and API testing; utilized Git version control.- Headed and coordinated the QA team in enhancing VersoNext product, collaborating with Devs to decrease time-to-market 30%; conducted UX reviews raising customer satisfaction by 20%. -
Business Intelligence AnalystSilica Infotech Pvt. Ltd. Jun 2018 - Dec 2018New Delhi, Delhi, India- Identified 3 KPIs for Silica Petroleum on comparative fuel alternative study through analyzing complex data in SQL Server and PowerPivot and led BI meetings in dashboard creation that helped increase revenue by 15%.- Migrated 100+ Oracle Reports to SSRS and created Excel/PowerPivot data models, cutting report creation time by 50%.
Sneha Singh Education Details
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Computer Science
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9.82 Cgpa (Out Of 10.00) -
Computer Science
Frequently Asked Questions about Sneha Singh
What company does Sneha Singh work for?
Sneha Singh works for Meta
What is Sneha Singh's role at the current company?
Sneha Singh's current role is Consultant - Analytics.
What schools did Sneha Singh attend?
Sneha Singh attended New York University, University Of Mumbai, Apeejay Stya Education (Svran Foundation).
Who are Sneha Singh's colleagues?
Sneha Singh's colleagues are Alexandra W., Naseeha Unwanted, Ahamed Shohag, María Cecilia Viyella, Md Sahin, Nishi Jain, Maher Ziarat Sial.
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Sneha Singh
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Sneha Singh
Actively Seeking Full-Time Positions | Research Assistant With Cse Dept. | Grad Student @ Suny Buffalo | Worked At Oracle As Staff Consultant. Completed Be From Tcet (University Of Mumbai)Buffalo, Ny
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