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Data Science with less than a year in Data Analysis & ML Engineering
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst and Data Scientist enthusiast with experience in Python, SQL, Power BI, and machine learning for data analysis, dashboard reporting, and predictive modeling. Skilled in DAX, ETL pipelines, KPI tracking, data visualization, and RAG-based AI applications using LangChain and Streamlit.
Chandigarh University
Master Computer of Applications (MCA)
August 1, 2022 – June 30, 2024
Kanpur University
Bachelor of Science (B.Sc.)
August 1, 2018 – June 30, 2021
MKT Softwares Pvt. Ltd
Data Analyst Intern
June 1, 2025 – September 1, 2025
India
Autonomous ML Agent
June 1, 2025 – August 1, 2025
Implemented automated model deployment pipelines, reducing time-to-production by 50% and ensuring continuous integration for ML models. Automated agent to detect regression/classification tasks and prepared data, enabling autonomous training of 5+ models. Enhanced model performance by 2-3% on key metrics through advanced feature engineering and data preprocessing techniques. Improved model accuracy by up to 5% through integration of Optuna for hyperparameter tuning. Reduced manual effort in model development by automating task detection and data preprocessing, saving hours of manual work per project. Designed an interactive Streamlit dashboard with visualizations and model export functionality, increasing user engagement by 50%.
View ProjectClassic Model Dashboard
June 1, 2025 – August 1, 2025
Solved the challenge of fragmented sales reporting by building a Power BI dashboard using 100K+ transactional records to track revenue, orders, and regional performance. Integrated 15+ KPI cards and interactive visualizations for sales trends, profit analysis, YoY growth, and top-performing products across 4+ business areas. Spearheaded the automation of over 10 distinct sales reports, reducing manual reporting time by 15 hours per week through advanced DAX measures. Applied 20+ DAX measures, SQL queries, slicers, and drill-through reports to automate reporting workflows and improve business decision-making efficiency by 50%.
Document Reviewer Agent
June 1, 2025 – August 1, 2025
Developed a multi-agent RAG system for contextual Q&A across 50+ documents. Composed FAISS-based vector search with re-ranking to improve retrieval accuracy precision across 20+ candidate chunks. Engineered an automated evaluation system to measure answer quality and reduce hallucinations by 25%. Deployed a Streamlit app with chat history, persistent storage, and source attribution.
View ProjectPG Diploma in Data Science
Imarticus Learning
June 1, 2026 – Present
Data Analyst Certification
MKT Softwares
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from classic BI dashboards to advanced ML agents and RAG systems, indicates a broad interest and adaptability in the data science domain. The personal projects demonstrate initiative and a passion for applying technical skills to solve real-world problems. The target role of 'Data Science' aligns well with the candidate's demonstrated skills and project focus, particularly in machine learning, NLP, and data visualization. The breadth of tools and technologies used (Python, SQL, Power BI, Streamlit, LangChain, FAISS, Optuna) suggests a willingness to learn and apply new technologies, which is a positive cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project descriptions, addressing challenges like fragmented reporting and manual ML workflows. Their ability to collaborate with stakeholders (as mentioned in the internship) suggests good teamwork potential. The projects indicate a proactive approach to identifying and implementing solutions, which aligns well with operational efficiency.