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Data Analyst with less than a year in Power BI, Python, and SQL for data-driven insights.
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Assessing your cultural and operational fit
Highly motivated and results-oriented Data Analyst, a recent graduate with a Bachelor of Engineering in Information Technology. Possesses a strong foundation in data analysis, visualization, and machine learning, demonstrated through impactful academic projects. Proficient in tools such as Power BI, Python (Pandas, NumPy, Scikit-learn), SQL, and Tableau, with hands-on experience in developing interactive dashboards and predictive models to solve real-world business problems and drive actionable insights.
AP Shah Institute of Technology, Thane
B.E. · Information Technology
August 1, 2022 – June 30, 2026
Mumbai University
12th HSC
June 1, 2020 – May 31, 2022
HR Analytics Employee Attrition & Performance Dashboard
January 1, 2026 – June 1, 2026
Built a 3-page HR Analytics dashboard using Power BI, DAX, Power Query, and data modeling, analyzing 1,470 employee records and 25+ workforce attributes. Developed 7 KPI cards, 10+ DAX measures, and 15+ interactive visualizations to monitor employee attrition, performance, compensation, tenure, and job satisfaction. Assessed workforce trends across 3 departments, 9 job roles, and 6 education fields, identifying 237 employee exits and an overall 16.12% attrition rate. Delivered actionable retention insights by uncovering that Research & Development accounted for 56.12% of attrition, while Laboratory Technicians recorded the highest attrition count (62 employees).
Customer Shopping Behavior Analysis
January 1, 2026 – June 1, 2026
Examined 3,900+ customer transactions and 18 attributes to uncover customer behavior, spending patterns, and product preferences. Cleaned data, resolved 37 missing values, and applied feature engineering using Python (Pandas) and PostgreSQL. Conducted 10+ SQL-based analyses to identify revenue trends, customer segments, and subscription patterns. Created Power BI dashboards with KPI tracking and visual analytics to support business decision-making.
Super Store Sales Dashboard
January 1, 2026 – June 1, 2026
Designed a Power BI dashboard analyzing $1.57M+ sales, 22K+ units sold, and $175K+ profit using business KPIs. Visualized performance across 3 product categories, 17+ sub-categories, 4 shipping modes, and 3 customer segments. Evaluated 36-month YoY sales trends (2019–2021) and state-wise revenue distribution to identify high-performing regions. Implemented dynamic KPI dashboards featuring sales forecasting and profit analysis for data-driven decisions.
Swasthya Suraksha: AI-based Predictive Health & Crime Awareness System for Women
July 1, 2025 – April 1, 2026
Developed an AI-powered women's health and safety platform using Python, Flask, MySQL, and TensorFlow. Achieved 92% accuracy in PCOS prediction through menstrual tracking and personalized health insights. Engineered a Flask dashboard handling 10K+ records with real-time alerts and response times under 2 seconds. Integrated multilingual FIR translation and crime hotspot detection to enhance safety awareness and accessibility.
Data Analytics Certificate
IIM Skills
June 1, 2026 – Present
Data Analytics | Certificate of Recognition (Grade A+)
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications, from HR and sales analytics to a health and safety system, indicating adaptability and a broad interest in leveraging data. The 'Swasthya Suraksha' project, in particular, shows an inclination towards socially impactful work, which could be a strong cultural fit for organizations valuing innovation and social responsibility. The breadth of tools and technologies used also suggests a willingness to learn and apply new skills.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, teamwork, and communication skills, which are crucial for a Data Analyst role. The ability to translate complex data into actionable insights, as shown in the HR Analytics project, indicates a good operational fit. However, without specific psychometric or English test scores, a deeper assessment of stress handling and collaboration is not possible.