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Data Science with less than a year in Machine Learning & Data Pipelines
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science graduate (BE in AI & DS) with hands-on experience in developing machine learning models and data-driven solutions. Proven ability to manage the end-to-end data pipeline—from data wrangling and statistical analysis to building predictive models (LSTM, Transformers, Ensemble methods) and deploying insights via Power BI. Seeking to apply technical skills in Python, SQL, and Machine Learning to solve complex business challenges as an Entry-Level Data Scientist.
DY Patil College of Engineering, Pune
Bachelor of Engineering · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Infotact Solutions
Data Science Intern
January 1, 2025 – April 1, 2025
India
E-commerce Sales Analytics
June 23, 2026 – Present
Built an end-to-end analytics dashboard to visualize sales revenue, customer demographics, and payment mode preferences. Business Impact: Analysis aimed at understanding customer purchase behavior to inform marketing campaign targeting and website sales funnel improvements.
Customer Segmentation using K-Means Clustering
June 23, 2026 – Present
Performed Exploratory Data Analysis (EDA) and feature engineering on customer transaction data Applied K-Means Clustering to segment customers based on spending patterns and demographics Identified distinct customer groups to enable targeted marketing strategies and improve campaign ROI
Heart Disease Risk Prediction Model
June 23, 2026 – Present
Developed a Naive Bayes classifier to stratify patient risk from clinical data Conducted feature engineering, achieving 89% accuracy Delivered a tool to support early diagnosis and screening
Data Science Certified Professional
TechData Solutions
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like healthcare, marketing, and e-commerce, indicating adaptability and a broad interest in applying data science to different business problems. The target role of 'Data Science' aligns well with their education, internship, and project experience. The breadth of technical skills, including various ML/DL models and tools, suggests a proactive learning attitude. The academic nature of most projects, however, means real-world business constraints and stakeholder management experience might be limited.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work in an Agile environment and focus on delivering business impact. The documentation of end-to-end data workflows indicates an organized approach. However, specific soft skills like problem-solving, critical thinking, or teamwork are not explicitly detailed beyond general project collaboration.