Headline

Data Analyst | Python · SQL · Power BI · ML | NIT Raipur’26

About

A final-year Bachelor of Applied Science student in Information Technology at the National Institute of Technology Raipur, graduating in April 2026. Recently completed a Data Analytics internship at Unified Mentor, where contributions included training machine learning classifiers to achieve 86% classification accuracy, improving feature selection efficiency, and establishing robust data preprocessing pipelines. Previously interned at Tata Steel, where efforts focused on creating interactive Power BI dashboards and cleaning enterprise datasets to reduce inconsistencies and extract actionable business insights. Core proficiencies include resume review, decision modeling, and credit scoring. Currently seeking Data Analyst or Business Analyst roles starting June 2026.

Location

Greater Raipur Area

Work experience

Unified Mentor, Data Analytics Intern (Jan–Mar 2026) at Unified Mentor, Jan 2026 - Mar 2026 · 3 mos, Remote, • Achieved 86% classification accuracy (15% above baseline) by training and tuning Logistic Regression + Decision Tree models on a 10,000+ row student admissions dataset — model deployed for live admissions risk scoring. • Accelerated feature selection by 20% by uncovering 3 high-signal correlations across 7 admission metrics through systematic EDA, reducing model noise before training. • Reduced data missing-value rate from ~25% to 4% through Python/Pandas preprocessing pipeline, establishing a clean foundation that eliminated data quality errors in all downstream ML work.

Tata Steel, Data Analytics Intern (Jun–Jul 2025) at Tata Steel, Jun 2025 - Jul 2025 · 2 mos, Remote, • Engineered 3 interactive Power BI dashboards with live KPI tracking across 5 business units, compressing the reporting cycle from weekly to real-time and recovering 6+ hours of analyst time per week. • Reduced data inconsistencies by 40% across 10,000+ Retail Sales & HR Training records using advanced Excel techniques (VLOOKUP, Pivot Tables), enabling clean downstream analysis that directly informed Q3 stakeholder planning. • Surfaced revenue concentration trends and workforce certification gaps from 2 enterprise datasets — insights adopted by leadership for strategic Q3 decisions.

Data Specialist at Tata Steel, Jun 2025 - Jul 2025 · 2 mos, • Analyzed 2 enterprise-scale datasets (Retail Sales & HR Training) comprising 10,000+ records to extract actionable business insights supporting data-driven decision-making. • Cleaned and harmonized data using Excel (VLOOKUP, Pivot Tables), reducing inconsistencies by 40% and improving data reliability. • Built 3+ KPI-driven interactive Power BI dashboards tracking revenue concentration and workforce certification, cutting reporting time by 60% and enabling real-time stakeholder insights.

Education

Krishna Public School raipur

Bachelor of Applied Science, Information Technology, National Institute of Technology Raipur