Oct 2021 – Nov 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

• 1. Project: ETL Pipeline Development & Optimization
• Excelled in strategic ETL pipeline development, optimization, and management that bolstered client success through improved efficiency and reduced costs.
• Effectuated a 4x cost reduction by fine-tuning ETL processes which positively impacted the client's bottom line.
• Demonstrated proficiency in managing AWS EC2 servers to ensure smooth data processing, thereby enhancing client satisfaction.
• 2. Project: Data Migration
• Enabled seamless data migration from AWS MySQL to Neo4j, thereby enhancing the client's data management capabilities.
• Executed a successful Proof of Concept for data migration from MySQL to Redshift using AWS Database Migration Service.
• 3. Project: Machinery Failure Forecasting Proof of Concept
• Conducted a comprehensive Proof of Concept study using IoT data, which helped clients to proactively anticipate potential machinery failures.
• 4. Project: Automated Machine Learning Pipeline
• Led the design and implementation of an automated machine learning (AutoML) pipeline in a cloud environment to optimize data transformation.
• Managed data ingestion and preprocessing using PySpark, orchestrated feature engineering processes, automated model selection, and hyperparameter tuning stages.
• Set up AWS CloudWatch for monitoring and AWS SNS for notifications to ensure efficient operation.
• 5. Project: Income Data Analysis and Processing
• Conducted a thorough data analysis and processing to create data pipelines for efficient model building of income data.
• Leveraged Python and SQL for data extraction, transformation, and loading (ETL) to facilitate model training.
• 6. Project: Movie Genre Prediction
• Engineered a solution for processing unstructured textual movie data. Applied NLP techniques to convert text into structured data and prepared the dataset for genre prediction.
• Developed a data pipeline for efficient data cleaning, transformation, and model training.

May 2021 – Oct 2021 · 5 mos · Georgia, United States · Remote

• > Skilled in data analysis, including market segmentation and use of machine learning algorithms to identify prospective buyers.
• > Proficient in Python libraries for web scraping and sentiment analysis of customer reviews and comments.
• > Experienced in optimizing code for faster workflow and automating processes.
• > Led a team of four in previous role and effectively communicated with clients to ensure project success.

Mar 2020 – Apr 2021 · 1 yr 1 mo · Bengaluru, Karnataka, India

• 1. Project: Flask-based Web App Integration
• Developed and integrated Flask-based web applications with machine learning models, providing users with real-time predictive analysis.
• Collaborated in the design of the data architecture to facilitate the integration of machine learning models and web applications.
• 2. Project: Audio Classification
• Applied advanced signal-processing techniques and machine learning models, achieving a 95% accuracy rate in audio classification.
• Built a data pipeline for efficient preprocessing and transformation of audio data.
• 3. Project: HR Analytics Tool
• Developed an HR Analytics tool improving job matching efficiency by 40% using NLP and KNN algorithms.
• Devised ETL workflows for the tool to handle large HR data, ensuring data quality and consistency.
• 4. Project: String Matching Optimization
• Optimized string matching problems using NLP, reducing processing time by 60%.
• Engineered a scalable solution for string matching, effectively handling vast amounts of text data and improving efficiency.