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Data Science with 2+ years in Machine Learning & Predictive Modeling
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Assessing your cultural and operational fit
Highly motivated Data Science professional pursuing a Master of Science in Data Science with 2.5 years of experience in developing and deploying machine learning solutions. Proficient in Python, R, SQL, and various ML frameworks like XGBoost and TensorFlow. Demonstrated expertise in building end-to-end ML pipelines, creating interactive dashboards, and automating data science workflows for actionable insights. Eager to leverage strong analytical and technical skills to drive data-driven decisions and contribute to innovative projects.
Kristu Jayanti (Deemed to be University)
Master of Science · Data Science
August 1, 2024 – Present
Reva University
Bachelor of Science · Mathematics, Statistics, and Computer Science
August 1, 2020 – June 30, 2023
ApexIQ
Data Science Intern
January 1, 2024 – Present
India
Personal AI Assistant with RAG
June 21, 2026 – Present
Engineered domain-specific AI assistant leveraging smollm2 and Pinecone vector database for semantic search and retrieval-augmented generation, enabling context-aware responses for personalized study assistance
Blip Platform
June 21, 2026 – Present
Built full-stack microblogging application (React + Vite, Node.js, Turso) emphasizing conversation depth and user privacy with zero ads or algorithmic manipulation. Implemented chronological feeds, real-time replies, notifications, drafts, scheduled publishing, and 24-hour self-destructing blips. Deployed on Vercel with multi-theme UI and donor monetization model
Cricket Tweets Sentiment Analysis
June 21, 2026 – Present
Conducted comparative analysis of NLP models (TextBlob, VADER, Logistic Regression, LSTM) on large-scale Twitter dataset, benchmarking performance to identify optimal approach for real-time sentiment classification
Chess Game Outcome Prediction
June 21, 2026 – Present
Developed XGBoost classifier achieving 65% accuracy using player ELO ratings, ECO codes, and opening sequences, demonstrating feature engineering and structured data modeling capabilities
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from full-stack development to advanced AI and NLP, indicates a broad interest and adaptability, which are positive for cultural fit. Their involvement in leadership roles and mentoring suggests a proactive and collaborative mindset. The focus on user privacy and ethical considerations in personal projects aligns with responsible AI development. The academic background and continuous learning (Master's in Data Science) show a commitment to growth.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through their role as an Executive Member of the Data Bridge Society and Assistant Basketball Coach. Their project descriptions indicate an ability to work independently on complex tasks and a focus on user experience and privacy (Blip Platform). The internship experience highlights an operational fit for structured data science workflows, including reproducibility and scalability. Multilingual abilities suggest strong communication potential.