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Data Science with less than a year in Machine Learning & 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
Aspiring Data Scientist with a strong foundation in machine learning, deep learning, data visualization, and predictive analytics. Experienced in building and deploying ML models using Python and relevant frameworks. Proficient in deriving actionable insights from complex datasets to support real-world business decisions. Immediate joiner.
MITS Gwalior
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Degree College Satna
Bachelor of Science (B.Sc.)
August 1, 2020 – June 30, 2023
Kendriya Vidyalaya No. 1, Satna
Senior Secondary (XII)
N/A – May 31, 2020
Ypsilon IT Solutions Pvt. Ltd., Indore
Software Trainee Intern - Data Science
January 1, 2026 – Present
Indore, Madhya Pradesh, India
Credit Card Fraud Detection
June 1, 2026 – Present
• Developed ML classification models (Logistic Regression, Random Forest, Decision Tree) to identify fraudulent transactions with high accuracy. • Performed data preprocessing and feature engineering; handled class imbalance via resampling to improve precision and recall.
SparkScale Churn Prediction
June 1, 2026 – Present
• Built an end-to-end customer churn prediction pipeline on Telco data using PySpark, training and comparing five models: Spark GBT, Random Forest, XGBoost, FLAML AutoML, and a Keras Deep Neural Network. • Applied SMOTE for class imbalance, engineered features via Spark SQL Transformer, used SHAP for model explainability; evaluated using Accuracy, Precision, Recall, F1, and AUC.
Big Data
NPTEL
June 1, 2026 – Present
Internet of Things (IoT)
NPTEL
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications in Big Data, IoT, and Cloud Computing indicate a broad interest in modern data-related technologies. The ongoing internship suggests an eagerness to gain practical experience. The diversity of projects (fraud detection, churn prediction) shows adaptability to different problem domains. However, the experience is primarily academic and entry-level, so the cultural fit for a senior role would need further validation regarding leadership, mentorship, and strategic thinking.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data science concepts, as evidenced by academic projects and an ongoing internship. The descriptions suggest an ability to work on real-world problems and understand business implications. However, without direct assessment, specific soft skills like teamwork, problem-solving under pressure, or communication in a professional setting cannot be fully evaluated.