Data Science with less than a year in Python & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Skilled Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI with a strong ability to extract actionable insights from complex datasets. Proficient in building ML models, interactive dashboards, and automating data workflows. Experienced in end-to-end project development from data preprocessing to deployment.
Vellore Institute of Technology, Bhopal
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Mahatma Gandhi Kashi Vidyapith, Varanasi
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
Lepide Software Pvt Ltd
Dotnet Developer (Internship)
March 1, 2025 – June 1, 2025
India
Heart Disease Prediction using Machine Learning
January 1, 2025 – March 1, 2025
Built an end-to-end ML pipeline on 918 patient records with 11 clinical features including Age, Cholesterol, RestingBP, and ST_Slope. Performed EDA, one-hot encoding of categorical variables, and StandardScaler normalization to prepare data for modelling. Trained and benchmarked 5 classifiers — Logistic Regression (86.41%), KNN (85.87%), Naive Bayes (86.96%), Decision Tree (79.89%), and SVM RBF (88.04% best accuracy). Developed an interactive Streamlit web app enabling real-time High/Low heart disease risk prediction from patient vitals input.
HR Analytics Dashboard
August 1, 2024 – August 1, 2024
Identified key employee attrition drivers using HR data, enabling targeted retention strategies. Analyzed workforce demographics and job satisfaction trends to uncover patterns impacting hiring and retention. Delivered actionable, data-driven insights that improved workforce productivity and operational efficiency.
AI for Beginners
HP
May 1, 2025 – Present
Data Analytics and Visualization Job Simulation
Accenture
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including both HR analytics and a machine learning prediction model, shows a breadth of interest in applying data science to different domains. The academic projects align well with a Data Science role, demonstrating practical application of learned skills. The internship in .NET, while not directly data science, indicates adaptability and exposure to software development practices. The certifications further support a proactive learning attitude. Overall, the candidate appears to be a good cultural fit for a dynamic, learning-oriented data science team.
Soft Skills & Operational Fit
The candidate's achievements section highlights mentoring junior students, organizing tech fest events, and leading a cricket team, suggesting strong leadership, teamwork, and organizational skills. These attributes indicate a good operational fit for collaborative project environments and potential for mentorship within a team. The internship experience, though in .NET, shows an ability to contribute to full-cycle product development and independent project conceptualization.