Saransh Sharma
Open to work1 years experienceAI/ML Engineer
AI/ML Engineer specializing in Python, Machine Learning, Generative AI, and FastAPI.
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Skills & Technologies
46 skillsWork Experience
Marketing Data Analyst Intern
Spark Allies LLC
- Analyzed multi-channel campaign data (SEO, paid ads) to identify high-conversion user segments, improving lead generation efficiency by 30%.
- Built automated KPI dashboards in Power BI, reducing manual reporting effort and improving stakeholder decision turnaround.
- Conducted statistical analysis on campaign performance to forecast traffic and engagement trends.
- Designed data-driven content optimization strategies using keyword and behavioral analytics.
Projects
CineMatch – AI-Powered Entertainment Recommendation Platform
View Project- Built and deployed a hybrid recommendation system combining SBERT embeddings (60%) and TF-IDF similarity (40%) to deliver personalized recommendations across 42,000+ movies, anime, K-dramas, and TV titles.
- Developed an automated ETL pipeline using the TMDB API for large-scale metadata ingestion, cleaning, and feature engineering.
- Engineered a production-ready FastAPI backend and Flutter Web frontend with Firebase Authentication, Google Sign-In, personalized onboarding, and dynamic genre-based UI adaptation.
- Integrated Firebase Firestore to capture user preferences, ratings, reviews, watchlists, and recommendation interactions for personalization and analytics.
FinanceAI – Intelligent Stock Analysis Platform
View Project- Built an end-to-end AI financial intelligence platform integrating LLaMA 4 (via Groq) for LLM-powered investment analysis, generating sentiment classification (Bullish/Bearish/Neutral), key risk/strength identification, and price target recommendations.
- Engineered a 2-layer LSTM deep learning model (TensorFlow/Keras) for 7-day stock price forecasting with ~2.45% MAPE, trained on 1 year of daily closing prices with 60-day sequence windows.
- Implemented Z-Score statistical anomaly detection with a 2.0 SD threshold to automatically identify and classify market crashes and spikes across 3-month rolling windows.
- Built a RAG pipeline using ChromaDB for vector-based knowledge retrieval, combined with real-time stock data (yFinance) and live news integration for context-aware analysis.
- Deployed a production -grade FastAPI backend on Render and Flutter Web frontend on Firebase Hosting, with Firestore integration for per-user search history, forecast results, and anomaly tracking
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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About Details
Professional Bio
AI/ML Engineer specializing in Python, Machine Learning, Generative AI, and FastAPI with experience building and deploying production-ready AI applications. Developed end-to-end recommendation systems, LLM-powered analytics platforms, and deep learning models.
Master of Computer Applications (MCA) in Data Science & AI
Manipal University Jaipur (2024 - 2026)
Bachelor of Computer Applications (BCA)
Star Infotech College, Ajmer (2019 - Present)