Prajakta Bhumkar
Pune
Summary
Data Scientist with 4 years of experience in Machine Learning and Deep Learning. Proven ability to enhance predictive accuracy and operational efficiency through scalable AI/ML model deployment on cloud platforms, like Microsoft Azure. Proficient in data analysis using Python, SQL, and PySpark, with a strong foundation in data visualization using Power BI. Recognized for innovative problem-solving and teamwork. Committed to leveraging data-driven insights to drive business growth.
Overview
4
4
years of professional experience
Work History
Technology Analyst (Data Science)
Infosys
Pune
04.2021 - Current
- Led consulting assignments involving Exploratory Data Analysis (EDA), model building, model testing/validation, and delivering rich insights to clients using Power BI and MS Excel.
- Well-versed in Machine Learning algorithms, including Bagging & Boosting techniques, Classification & Regression models, and Tree-based algorithms, successfully transitioning from logic-based models to ML-based models for enhanced decision-making.
- Developed prediction models for the largest logistics service in the US to predict Estimated Delivery Dates, positively impacting logistics efficiency and customer satisfaction.
- Optimized Deep Learning models for classification and regression tasks, achieving a 30% improvement in delivery window predictions, enhancing client satisfaction metrics.
- Performed post-modeling analysis to fine-tune ensemble MLP classifiers, increasing classification accuracy by 10%, thereby enhancing predictive reliability across logistics datasets.
- Deployed a deep learning model in a data pipeline on Microsoft Azure, enabling robust, scalable model deployment within the cloud environment.
- Conducted data analysis on preprocessing and inference modules, validating and streamlining data flow across the pipeline to ensure accuracy and efficiency.
- Performing root cause analysis, created metric-based dashboards using Power BI and MS Excel to assess multiple models and their performances, thereby increasing the accuracy of the models.
- Led an internal team of four data scientists while conducting domain and project-specific knowledge transition sessions among them.
Data Science Trainee
Infosys Training
Pune
03.2021 - 04.2021
- Implemented a classification model for Breast cancer Prediction to classify whether the tumor is cancerous or not
- Performed EDA methods, Data Visualization, Feature Selection, Grid Search, Model training and model evaluation
- Used different classification algorithms and selected the final model with better accuracy and prediction
Education
Bachelor of Engineering - Computer Science Engineering
P.E.S, Modern College of Engineering
Pune, India10-2020
Higher Secondary - Mathematics & Science
NMV School And Junior College
Pune, India04.2016
Skills
- Data Science & AI/ML: Classification, Regression
- Data Analysis & Munging: Python, SQL, PySpark, Azure Databricks, MS Azure Data Lake
- Deep Learning: Neural Networks
- Cloud & Data Platforms: MS Azure, Databricks, Azure DevOps
- Visualization & Reporting: Power BI
- Tools: Jupyter, Microsoft Excel, Azure Databricks
- Production Experience: Hands-on experience in developing and deploying AI/ML models in production environments
Accomplishments
- Infosys Rookie of the Quarter Award, Awarded for consistent performance and on time delivery of the assigned tasks
- Infosys Insta Award, Awarded with Insta Award twice for project development and client appreciations.
Timeline
Technology Analyst (Data Science)
Infosys
04.2021 - Current
Data Science Trainee
Infosys Training
03.2021 - 04.2021
Bachelor of Engineering - Computer Science Engineering
P.E.S, Modern College of Engineering
Higher Secondary - Mathematics & Science
NMV School And Junior College