Jwalyansh Kumar

JWALYANSH KUMAR D A T A A N A L Y S T ABOUT ME CONTACT Data Analyst skilled in data visualization, statistical analysis, and business intelligence tools, with a proven track record of transforming complex datasets into actionable business insights.Proficient in Excel, SQL, Python, Tableau, and Power BI, with a proven track record of transforming complex data into actionable insights. Utilized analytical skills to interpret complex data sets, enabling informed decision-making and contributing to business growth. PROJECTS FLIPKART SALES INSIGHTS DASHBOARD (AUG-2025) EDUCATION MAHATMA JYOTIBA PHULE ROHILKHHAND UNIVERSITY — Bachelor of Commerce Major in Accounting and Finance,06/2022-06/2025 SKILLS Data Analysis Tools: Excel with AI, SQL, Python Concepts: Data Cleaning, Data Visualization, Data Statistics, Business Intelligence, Data Modeling Visualization Tools: Tableau, Power BI Other Skills: Problem-Solving, Critical Thinking, English Proficiency CERTIFICATIONS Deloitte Australia – Data Analytics Job Simulation (Forage) Career Institute of Software Training – Data Analytics Microsoft – Introduction to MS Excel Simplilearn – Data Analyst Certification Microsoft & Simplilearn – Power Bi For Beginners Certification Simplilearn – Tableau Data Visualization Certification Simplilearn - Business Analytics With Excel LANGUAGES English (Fluent) Hindi (Fluent) Leveraged Power BI and Excel to independently develop an interactive dashboard for analyzing Flipkart’s e-commerce sales performance. The objective was to identify sales trends by product category, region, and customer type. Key Insight: Electronics and fashion contributed to 65% of total revenue, with strong growth in Tier-2 cities. The insights supported data-driven marketing and inventory planning. Tools: Power BI, Excel JIO CUSTOMER RETENTION ANALYSIS (SEP-2025) Utilized Python and SQL to perform predictive analysis on Jio customer data, detecting churn risks. Logistic regression and random forest models were used to classify high-risk customers. Key Insight: The model achieved 82% accuracy, identifying top churn factors like poor network experience and low data balance. Suggested retention strategies improved potential customer retention by 12%. Tools: Python, SQL, Scikit-learn ICICI BANK FINANCIAL DASHBOARD (OCT-2025) Created a financial performance dashboard in Power BI to monitor ICICI Bank’s quarterly performance across profit, liquidity, and cost ratios. Key Insight: The bank maintained a 6.5% NIM (Net Interest Margin) and strong liquidity buffer of 4.3 months. Identified minor inefficiencies in operating expenses, supporting better budget control and risk planning. Tools: Power BI, Excel EXTRACURRICULAR ACTIVITY Completed a Deloitte job simulation focused on data analysis and forensic technology, creating a Tableau dashboard and applying Excel to classify data and derive actionable business insights for enhanced decisionmaking. SELF ATTESTED