Data Analyst with less than a year in Python, SQL & Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Electrical Engineering graduate with hands-on experience in end-to-end data analytics — from ETL and data wrangling to dashboard development and stakeholder-ready reporting. Proficient in Python (Pandas, Scikit-Learn), SQL, Tableau, and Power BI. Adept at translating data insights into structured business recommendations, with experience building analytical frameworks that support consulting, client engagement, and strategic decision-making. Passionate about transforming raw data into actionable KPIs and BI insights that drive informed decision-making
Kamla Nehru Institute Of Technology
B.Tech · Electrical Engineering
N/A – Present
Hindustan Aeronautics Limited
Summer Intern
May 1, 2024 – August 1, 2024
Kanpur, Uttar Pradesh, India
SaaS "Churn & Burn" Financial Deep-Dive
October 15, 2026 – Present
Performed Cohort Analysis using SQL to track user retention over 12 months. Merged financial datasets with support ticket logs in Excel to identify correlations between Time-to-Resolve and Logo Churn. Discovered that customers with >24hr support delays had a 30% higher churn rate, leading to a data-backed recommendation to reallocate resources to high-value account support.
Predictive Maintenance for Industrial Transformers
October 15, 2026 – Present
Analyzed 10,000+ sensor records (vibration, temperature, and current) using SQL and Python. Built a Remaining Useful Life (RUL) calculator to detect anomalies in transformer performance. Developed a real-time monitoring dashboard in Power BI that flags maintenance needs 48 hours in advance, potentially reducing emergency repair costs by 20%.
Smart Grid & Energy Consumption Forecasting
October 15, 2026 – Present
Developed a time-series forecasting model using Python (Pandas, Scikit-Learn) on a dataset of 2M+ power consumption records. Engineered features to account for Time-of-Use pricing and seasonal variance. Achieved a 92% accuracy rate in predicting peak loads, allowing for a simulated 15% reduction in energy costs through a Tableau What-If analysis dashboard for consumers.
365 Careers- Complete Data Analyst Course
Udemy
October 1, 2026 – Present
Infosys Springboard- Python Data Analyst
Infosys
October 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of application areas (energy forecasting, predictive maintenance, financial analysis), indicating adaptability. The focus on end-to-end data analytics and stakeholder engagement aligns with a collaborative, impact-driven culture. However, the limited professional experience (summer intern) and lack of diverse team-based project descriptions make a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate demonstrates strong data storytelling, stakeholder communication, problem-solving, and critical thinking skills, which are crucial for a Data Science role. The resume highlights experience in translating data insights into business recommendations and supporting strategic decision-making, indicating a good operational fit for roles requiring actionable insights.