Sep 2023 – Dec 2023 · 3 mos

• Responsibilities :
• Designed and implemented an end-to-end data migration pipeline in Azure Data Factory, facilitating seamless transfer of critical data in a encrypted form from GCS to ADLS Gen2.
• Develop efficient ETL processes, optimizing data transfer speeds by 30% for both historical and incremental load data.
• Worked on Azure SQL Server for to discover meaningful insights from the raw data and used that information to build the model in databricks and used MLFlow to track multiple models.
• Leveraged cutting-edge Generative AI and Langchain technologies to develop LLMs capable of answering users question by querying the database.
• Perform Exploratory Data Analysis of time series data on databricks and also implement feature store in order to avoid repeatative pre-processing

May 2023 – Aug 2023 · 3 mos

• Responsibilities:
• Worked around Azure Platform and deployed ML model in Azure ML studio using Azure ML SDK.
• Completed Azure Certification(AZ-900, AI-900, DP-900, DP-100).
• Performed EDA to extract the key insights from the sale data and created visualization dashboard in Power-BI indicating key performance Indictors on Sales Data.
• Comparative analysis of various models was performed and the best fit model was selected based on evaluation metrics.
• Contributed to NLP projects with accurate Named Entity Extraction and Optimized NER systems for accuracy and efficiency

Dec 2022 – Jan 2023 · 1 mo

• In these virtual internship as a Data Analysis Intern at PWC (Forage) , I gained valuable experience in utilizing Power BI, SQL, and Excel to drive data-driven insights and decision-making processes.
• Throughout the internship, I successfully completed three impactful projects focused on Sales Insight Analysis, HR Diversity, and Call Center Analysis.
• I further honed my skills in data manipulation, analysis, visualization, and report generation.
• This virtual internship provided me with hands-on experience in applying data analysis in Power BI techniques to real-world scenarios.

Oct 2022 – Oct 2022 · 0 mo

• Completed the renowned Hacktober-fest event, engaging in open-source contributions within the realm of machine learning. This experience provided me with invaluable opportunities to contribute to a machine learning project.
• I actively contributed to the project by implementing new features, resolving issues, and improving the accuracy of the project .
• This experience allowed me to deepen my understanding of machine learning concepts and gain practical experience in working on real-world projects.

Apr 2022 – May 2022 · 1 mo

• Shortlisted for Google Cloud Ready Facilitator Program '22, organized by "Google Cloud Community India". Achieved 2nd Milestone of the Competition which included concepts like Cloud Infrastructure Building, AI and ML, Data Analysis & Bigdata queries. This immersive program equipped me with the knowledge and practical skills needed to excel in cloud.
• Tracks Completed :
• 1. Cloud Infrastructure
• 2. Data Analysis
• 3. Big-Data and Machine Learning

Aug 2021 – Sep 2021 · 1 mo

• In these internship I got the opportunity to work on diverse projects that honed my skills in utilizing essential tools such as NumPy, Pandas, and Scikit-learn for data manipulation, analysis, and visualization.
• Implemented deep learning models like CNN’s to analyze medical images and improve cancer detection accuracy.
• Increased accuracy by 75% on trained datasets in different tasks, such as regression and classification problems.
• Reduced model size and prediction time by 50%, Tracked metrics and utilized advance technique of hyperparameter tuning like hyperopt to improve model performance.