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Data Analyst with 2+ years in Power BI, Tableau, SQL & Python, leveraging engineering background for
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Data Analytics professional transitioning from a Mechanical Engineering background with 1.6 years of industry experience in BIW welding fixture design and detailing. Additionally, completed a 6-month internship in the Renewable Energy (Wind & Solar) sector, gaining exposure to project development, construction, and operations. Skilled in SQL, Microsoft Access, Excel, Python, Power BI, and Tableau, with ability to translate raw datasets into actionable insights. Basic knowledge of Gen AI. Strong foundation in engineering design, problem-solving, and documentation – now leveraging analytical skills to deliver impactful business and data-driven solutions.
AISSMS College of Engineering, Pune
B.E. Mechanical Engineering · Mechanical Engineering
August 1, 2017 – June 30, 2022
MGV SPH College, Nampur, Nashik
HSC Science · Science
N/A – Present
BEST English Medium School, Satana, Nashik
SSC
N/A – Present
ARAPL
Design Engineer – BIW Welding Fixture Modeling & Detailing
January 1, 2023 – August 1, 2024
Pune, Maharashtra, India
POWERCON Ventures India Pvt. Ltd.
Intern - Renewable Energy Projects
July 1, 2022 – December 1, 2022
Pune, Maharashtra, India
HR Analytics
June 1, 2026 – Present
Data Engineering: Built a MySQL database for 1,470 employees, utilizing complex queries and Crosstab functions to calculate a 16.12% attrition rate. Visualization: Developed interactive dashboards in Power BI and Tableau to track workforce metrics across departments, age bands, and education fields. Key Insights: Identified that the R&D department (56.12%) and Life Sciences field (89 count) experienced the highest attrition volume. QA & Testing: Authored a formal SQL Test Document to validate 100% data accuracy between the backend database and frontend reports.
View ProjectBank Loan Financial Analytics Project
June 1, 2026 – Present
Analyzed $435M+ in loan data to monitor portfolio health and track repayment performance via MoM and MTD KPIs. Engineered SQL queries for data extraction and utilized Python for advanced EDA on borrower risk factors. Developed automated dashboards in Power BI/Tableau to visualize lending trends by state, purpose, and employment length, resulting in a 360-degree view of credit risk. Segmented portfolio into Good/Bad loans, providing a clear audit trail for $65.5M in high-risk "Charged Off" accounts.
Coffee Shop Sales Dashboard
June 1, 2026 – Present
Developed an interactive dashboard analyzing $698k in revenue and 149k+ footfalls across three locations. Utilized Power Query and Pivot Tables to identify peak operational hours (8 AM-10 AM) and key product drivers (39% Coffee). Engineered dynamic KPI tracking and Slicers to optimize staffing and inventory management based on seasonal and hourly trends.
GenAI Powered Data Analytics Job Simulation
Forage
June 1, 2026 – Present
CATIA V5
EduCADD
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Generative AI Mastermind
Outskill
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Data Analytics
ExcelR
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in Mechanical Engineering, followed by an internship in Renewable Energy and a current role as a Design Engineer, indicates adaptability and a willingness to transition into new fields. Their personal projects in HR, Financial, and Sales analytics demonstrate a broad interest in applying data analysis across different business domains. This diversity of experience and self-driven project work suggests a proactive and curious individual who could integrate well into a team that values continuous learning and cross-domain application of skills. The certifications in GenAI also show an interest in staying current with emerging technologies.
Soft Skills & Operational Fit
The candidate's professional summary highlights analytical thinking, problem-solving, and documentation skills, which are crucial for a Data Analyst role. Their experience in a design engineering role, while not directly data analytics, suggests a structured approach to problem-solving and attention to detail. The project descriptions indicate an ability to work independently on end-to-end analytical tasks, from data extraction to visualization and insight generation. The certifications in GenAI-powered data analytics suggest a proactive approach to learning new technologies.