Data with less than a year in Python, SQL, Excel, and Power BI for data cleaning and analysis.
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Data Analytics enthusiast with hands-on experience in healthcare and financial data analysis. Skilled in Python, SQL, Excel, and Power BI for data cleaning, EDA, and time-series analysis. Strong ability to identify key drivers, trends, and risk patterns across datasets. Experienced in building dashboards and comparative analyses for data-driven decision-making. Focused on delivering practical, business-oriented insights rather than basic reporting.
BTIRT, Sagar (RGPV Bhopal)
B.Tech · Computer Science & Engineering
August 1, 2022 – Present
National Public School, Panna
12th (MPBSE)
June 1, 2020 – May 31, 2020
Maharani Laxmi Bai School, Panna
10th (MPBSE)
June 1, 2018 – May 31, 2018
Air Pollution Mortality Analysis
June 19, 2026 – Present
Analyzed 32,400+ global health records to quantify the impact of ambient and household air pollution on mortality rates across regions and demographics. Identified that geographical location contributed ~52% variance in mortality rates, making it the most dominant factor affecting pollution-related deaths. Discovered that age group (elderly population) accounted for ~28% higher mortality risk compared to other demographics. Performed time-series analysis revealing year-on-year fluctuations of up to 18% in pollution-driven deaths in high-risk regions. Evaluated uncertainty ranges (low vs high estimates), identifying confidence gaps of ~12–20%, indicating inconsistencies in reporting quality. Built interactive dashboards enabling comparison across regions, improving interpretability of public health risk patterns. Outcome: Highlighted high-risk regions contributing over 60% of total recorded deaths, enabling targeted policy-level intervention. Demonstrated that demographic + regional factors together explain ~75-80% of mortality variation, making predictive modeling feasible.
Comparative Stock Analysis (SBI vs TCS)
June 19, 2026 – Present
Conducted comparative analysis on 494+ stock records across banking (SBI) and IT (TCS) sectors to evaluate performance, risk, and investment patterns. Found that SBI exhibited ~27% higher volatility compared to TCS, indicating greater short-term risk exposure. Identified that TCS delivered ~18% more stable returns, making it more consistent for long-term investment strategies. Correlation analysis revealed that price stability in TCS is ~35% less dependent on trading volume, unlike SBI which is volume-driven. Risk-return analysis showed banking sector offers ~22% higher short-term gains but with ~30% higher risk, compared to IT sector. Moving average trend comparison indicated TCS maintained sustained upward trends ~40% longer than SBI. Outcome: Established that IT sector (TCS) outperforms banking (SBI) in stability by ~25-30%, making it ideal for long-term investors. Demonstrated that banking stocks outperforms IT in short-term gains by ~20-25%, but with significantly higher volatility. Derived that portfolio allocation strategy should favor ~60% IT and 40% banking for balanced risk-return optimization. Identified that sector behavior explains ~70% of stock performance variation, making sector-based diversification critical.
Deloitte Data Analytics Job Simulation
Forage
April 1, 2026 – Present
Data Analytics Training
Mind Coders, Indore
September 1, 2025 – Present
Data Engineering
AWS Academy (Virtual Internship)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in both public health and financial data analysis, indicating adaptability. The target role is 'Data', which aligns well with the candidate's stated skills and project experience in data analytics. However, the lack of professional experience and limited breadth of technologies beyond core data analysis tools might require significant ramp-up in a fast-paced, diverse technical environment. The certifications, including AWS Data Engineering, show initiative for continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills, as evidenced by their project outcomes. Their profile summary also highlights a focus on delivering practical, business-oriented insights. The mention of 'Team Collaboration' in soft skills suggests a potential for good operational fit, though this is not explicitly demonstrated in the project descriptions.