Data Science with less than a year in data analytics & Generative AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Data Science student with hands-on experience in data analytics, dashboard development, machine learning, and Generative AI. Skilled in Python, SQL, Lang Chain, Flask, and Power BI, with practical exposure to Advanced RAG pipelines, prompt engineering, and MongoDB. Passionate about building intelligent, data-driven solutions.
Sri Indu Institute of Engineering and Technology, Hyderabad
Bachelor of Technology · Computer Science & Engineering (Data Science)
August 1, 2023 – June 30, 2026
Diploma In Electrical & Electronics Engineering, Yadagirigutta
Diploma · Electrical & Electronics Engineering
August 1, 2020 – June 30, 2023
ELEVATE LABS
Data Science & Analytics Intern
May 1, 2025 – June 1, 2025
India
Advanced RAG Pipeline for Document Q&A
June 1, 2026 – Present
End-to-end Retrieval-Augmented Generation system using Lang Chain for intelligent document querying. Implemented advanced RAG techniques: chunk reranking, hybrid search (dense + sparse retrieval), and contextual compression to improve answer quality. Used FAISS vector store for efficient similarity search and fast document embedding retrieval at scale. Developed a Flask REST API backend to serve the pipeline; stored conversation history and session context in MongoDB for persistent multi-turn interactions. Applied prompt engineering strategies to optimize LLM responses for accuracy and relevance.
View ProjectHR Attrition Analytics
May 1, 2025 – June 1, 2025
Predictive analytics to identify and reduce employee attrition using Python. Applied classification models to identify key attrition factors from HR datasets. Suggested actionable retention strategies; linked data-driven insights to real-world business decisions.
View ProjectML-Based Cryptocurrency Market Financial Risk Management
January 1, 2024 – December 31, 2024
Applied ML models to predict crypto volatility and manage financial risk. Built models (Logistic Regression, Random Forest, LSTM); engineered features (moving averages, volatility indicators); evaluated with RMSE/MAE. Built risk dashboards with Power BI.
Machine Learning & AI
PrepInsta Technologies Pvt. Ltd.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from HR analytics to cryptocurrency risk management and advanced RAG pipelines, indicates a broad interest in applying data science across different domains. The focus on practical, data-driven solutions aligns well with a results-oriented culture. The pursuit of a Bachelor's degree in Computer Science & Engineering (Data Science) after a Diploma in Electrical & Electronics Engineering shows a strong commitment to the field and a willingness to pivot and specialize, which can be a positive cultural indicator for continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and applying new technologies, particularly in Generative AI. The project descriptions indicate an ability to connect technical solutions to business problems (e.g., HR attrition, financial risk management). The remote internship experience suggests adaptability and self-management. However, the limited professional experience (one internship) means operational fit in a larger, more complex team environment is yet to be fully proven.