Data Analyst with less than a year in data visualization, machine learning, and business analytics t
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Highly motivated B-Tech student with a strong academic background and practical experience in Data Analytics. Proficient in Python, SQL, Power BI, and Tableau. Applied analytical and visualization skills in a data analyst internship and multiple data-driven projects, including sentiment analysis, business expansion strategies, loan approval prediction, and workforce attrition insights. Eager to leverage strong problem-solving abilities and technical skills to contribute to data-informed decision-making.
Mining Engineering IIT (BHU), Varanasi
B-Tech
August 1, 2022 – June 30, 2026
Tulsi Vidya Niketan
CBSE (X)
N/A – May 31, 2019
Bal Vid Madhyamic Sch
CBSE (XII)
N/A – May 31, 2021
Uptricks Services Pvt. Ltd.
Data Analyst Internship
May 1, 2025 – July 31, 2025
India
Business Expansion Analysis | SQL-Driven Growth Strategy
June 1, 2026 – Present
Analyzed 11,000+ records across four tables (Sales, Products, Customers, City) using SQL techniques (Joins, CTEs, Subqueries, Window Functions) to evaluate revenue, customer segmentation, and product demand. Performed city-wise analysis of monthly sales growth, sales vs. rent, consumer base, and top-selling products. Delivered insights for store expansion by identifying high-potential cities based on revenue and customer base.
LoanGenie | Loan Approval App
June 1, 2026 – Present
Refined structured loan data from CSV and applied binary mapping for categorical features and model readiness. Conducted EDA to uncover data patterns, handle outliers, and identify key relationships guiding feature selection. Validated feature importance and multicollinearity, selecting key predictors like CIBIL score, loan term and income to reduce overfitting. Transformed numerical features for uniform scaling using StandardScaler. Developed a Streamlit loan approval tool using a Logistic Regression model, achieving 91.6% accuracy.
Workforce Attrition Insights | Power BI Dashboard
June 1, 2026 – Present
Designed a Power BI dashboard visualizing a 16.1% attrition rate and insights for a 1,400+ employee dataset. Utilized Power Query to meticulously clean and transform raw dataset, ensuring accuracy for analysis. Analyzed 230+ employee attritions, identifying trends by age, role, and tenure to inform retention strategies. Created interactive visuals to present strategic insights, directly enabling data-driven decisions.
Microsoft & LinkedIn's “Career Essentials in Data Analysis”
Microsoft & LinkedIn
June 1, 2026 – Present
Data Analytics Bootcamp
The Business Club, IIT (BHU) Varanasi
June 1, 2026 – Present
Consultium
The Business Club of IIT BHU
June 1, 2026 – Present
Selected for Amazon ML Summer School 2025
Amazon
January 1, 2025 – Present
Placed in the Top 25 percentile out of 10,000+ participants in Summer Analytics 2024
IIT Guwahati
January 1, 2024 – Present
Advanced to Round 2 of L&T Createch 2024
L&T Createch
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in various academic clubs and competitive events, along with their mentorship roles, suggests a proactive and collaborative individual. Their diverse project portfolio, ranging from business expansion analysis to loan approval systems and workforce attrition insights, indicates adaptability and a broad interest in applying data analytics to different domains. This aligns well with a dynamic, data-driven organizational culture that values continuous learning and cross-functional engagement.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and leadership skills through their roles as Events Manager and Nodal Senior Induction Mentor. Their project descriptions highlight an ability to translate data into actionable insights, which is crucial for operational impact. The academic projects and internship show a structured approach to problem-solving and a focus on delivering tangible results.