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Data Science with less than a year in Data Analysis, Machine Learning, & ETL Pipelines
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data enthusiast with strong expertise in Python and SQL, specializing in Data Analysis, Machine Learning, ETL pipelines, advanced preprocessing, and deep learning models. Experienced in handling Big Data tools and cloud platforms, with proven analytical and problem-solving skills to deliver impactful data solutions.
Centre for Development of Advanced Computing, Pune
PG-Diploma · Big Data Analytics (PG-DBDA)
February 1, 2025 – August 1, 2025
Sandip Institute of Technology and Research Centre, Nashik
B.E. · Computer Engineering
N/A – June 30, 2024
New Vision Hr. Sec. School, Burhanpur(M.P.)
HSC
N/A – May 31, 2020
New Vision Hr. Sec. School, Burhanpur(M.P.)
SSC
N/A – May 31, 2018
Techno Hacks Edu tech
Data Science Intern
July 1, 2023 – August 1, 2023
India
Batch ETL Pipeline for Financial Transactions
June 23, 2026 – Present
Designed and implemented a scalable ETL pipeline for detecting fraudulent financial transactions. Orchestrated workflows with Apache Airflow, performed feature engineering and anomaly detection using Apache Spark, and stored results in Snowflake for advanced analytics. Implemented data cleansing, fraud flagging, and timestamp handling with integrated logging and daily DAG scheduling.
View ProjectDiabetic Retinopathy Detection using Deep Learning
June 23, 2026 – Present
Built a deep learning model to classify diabetic retinopathy into five severity stages from retinal fundus images. Used Dask to process large image datasets from Hugging Face in parquet format and created optimized tf.data pipelines with batching, shuffling, and prefetching. Applied transfer learning with EfficientNetB0 as the base model and custom dense layers, trained with sparse categorical cross-entropy loss. Visualized class distributions and evaluated model with accuracy metrics, demonstrating strong knowledge of healthcare AI and computer vision.
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of technical interests, from financial transaction fraud detection to medical image analysis, indicating adaptability and a willingness to tackle diverse problems. The listed skills cover a wide range of data science domains, suggesting a proactive approach to learning and skill development. The target role of Data Science aligns well with the candidate's project experience and stated skills. However, the limited professional experience (one short internship) means there is less data to assess long-term cultural fit in a team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design and implement complex data solutions, suggesting problem-solving and execution skills. The internship experience, though brief, shows exposure to data analysis and visualization in a professional context. However, without psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.