Data Scientist with 5+ years in Electrical Engineering and hands-on project experience in predictive
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I am a dedicated and detail-oriented data science enthusiast with a background in Electrical Engineering and a strong passion for turning data into actionable insights. After 4-year career break to focus on personal responsibilities, I have successfully upskilled in data science, completing hands on projects in predictive modeling, exploratory data analysis, and machine learning using python, SQL, and visualization tools like Power BI and Tableau. Despite not coming from IT background, I bring analytical thinking, discipline, and a strong foundation in mathematics and logic from my engineering education. I am now seeking an opportunity to apply my skills ion a real-world setting, contribute to impactful projects, and continue learning and growing in the data domain.
Datamites
Certificate · Data Science
August 1, 2024 – June 30, 2024
Brahmdevdada Mane Institute of Technology
Bachelor of Technology · Electrical Engineering
August 1, 2017 – June 30, 2021
Family Business (Krishna CNG Fuel System)
Business Support Associate
January 1, 2021 – Present
India
Predicting Customer Churn for a Telecom Company
January 1, 2024 – November 1, 2024
Objective: Predicted customer churn to help the business retain customers. Outcome: Delivered a model with 92% accuracy, enabling targeted retention strategies.
Heart Disease Prediction
January 1, 2024 – November 1, 2024
Objective: Built a classification model to predict the presence of heart disease. Outcome: Achieved a recall score of 88% for identifying critical cases.
Flight Fare Prediction
January 1, 2024 – November 1, 2024
Objective: Predicted flight ticket prices using factors like journey details and stops. Outcome: Achieved 85% model accuracy and optimized predictions for user planning.
FIFA Player Performance Analysis
January 1, 2024 – November 1, 2024
Objective: Analysed FIFA data to identify performance trends in top players. Outcome: Presented actionable insights in an interactive dashboard.
COVID-19 Prediction and Analysis
January 1, 2024 – November 1, 2024
Objective: Predicted COVID-19 cases and analysed trends across regions. Outcome: Developed a predictive model with 80% accuracy for short-term forecasting.
Certified Data Scientist
Datamites
June 1, 2026 – Present
NASSCOM Certificate in Data Science
NASSCOM
June 1, 2026 – Present
IBAC Certificate in Analytics
IBAC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows initiative in upskilling and transitioning careers, which suggests adaptability and a growth mindset. The diverse range of personal projects (flight fare, heart disease, FIFA, COVID-19) indicates a broad interest in applying data science to various domains. The target role 'Data Scientist' aligns well with the candidate's recent training and project focus. However, the lack of direct industry experience in data science might require a supportive environment for integration.
Soft Skills & Operational Fit
The candidate's experience as a Business Support Associate indicates developed organizational and communication skills, which are beneficial for stakeholder interaction in data science roles. The professional summary also highlights problem-solving and critical thinking. However, the career break and transition into data science mean direct operational experience in a data science team is limited.