Experience
Work Experience
July 2024 - Current
Data Scientist
BatteryXchange
Charlotte, NC, USA
At BatteryXchange, I played a pivotal role as a Data Scientist, designing and deploying machine learning models to improve battery performance, optimize charging cycles, and enhance operational efficiency. I leveraged Python, TensorFlow, Keras, and Scikit-learn to develop predictive models that led to a 25% increase in sales conversions, a 15% reduction in customer churn, and a 30% reduction in downtime. By integrating cloud-based MySQL and AWS RDS into Power BI dashboards, I reduced reporting times by 40% and improved data accuracy by 30%, enabling real-time decision-making for stakeholders. Additionally, I applied NLP techniques with NLTK and SpaCy to analyze unstructured customer data, deriving insights that supported strategic initiatives. My work also involved full-stack development, optimizing battery performance forecasting models with Docker and CI/CD pipelines, improving scalability, reliability, and compliance with GDPR and HIPAA standards.
Jan 2024 – May 2024
Data Scientist
Wells Fargo
Charlotte,NC,USA
At Wells Fargo, I worked as a Data Scientist, focusing on financial data analysis, machine learning modeling, and time-series forecasting to enhance investment predictions. I handled large-scale financial datasets, preprocessing and aggregating 10TB of data while ensuring integrity using Amazon S3 and AWS Redshift for efficient querying. My expertise in Random Forest, Gradient Boosting, SVM, and LSTM networks helped improve prediction accuracy to 92%, leading to 15% better investment decisions. I automated ETL workflows using Apache Airflow, built real-time investment dashboards with Flask, and deployed models using AWS SageMaker, Lambda, Fargate, and ECS. My efforts reduced analysis time by 40%, streamlined financial data integration, and enabled scalable machine learning deployments.
Oct 2021 - Jul 2022
Data Scientist
ADP
Hyderabad, India
At ADP Pvt. Ltd, I developed machine learning models and predictive analytics solutions for workforce planning, improving staffing accuracy by 20% and reducing costs by 15%. Using Python, TensorFlow, and ARIMA, I implemented time-series forecasting to predict workforce needs, reducing scheduling inefficiencies. I also built ETL pipelines with Apache Spark, PySpark, and AWS Redshift, automating workflows with Apache Airflow, reducing data preparation time by 35%. To enhance employee satisfaction, I performed sentiment analysis on employee feedback using spaCy and NLTK, uncovering dissatisfaction trends and improving HR decision-making, which led to a 10% increase in engagement scores. My work on interactive Tableau dashboards provided real-time workforce analytics, improving recruitment and retention strategies.
Dec 2019 - Aug 2021
Data Scientist
Cognizant
Chennai, India
At Cognizant Technology, I developed data-driven platforms and machine learning ecosystems to optimize business operations and strategic decision-making. Using Python, TensorFlow, and Scikit-learn, I built predictive analytics solutions that increased customer satisfaction by 30%. I designed ETL pipelines integrating diverse data sources into AWS Redshift, ensuring high data integrity and seamless access for analytics. My expertise in AWS SageMaker enabled automated model training, deployment, and monitoring with CI/CD pipelines, reducing time-to-market for machine learning solutions by 40%. I also conducted marketing analytics using Apache Spark, helping segment customers effectively and boosting ROI by 20%. Additionally, I established data governance frameworks to comply with privacy regulations, ensuring secure, reliable, and ethical data handling.
Education
2022 - 2024
Master of Science in Data Science and Business Analytics
UNC Charlotte
Charlotte, NC
In the Master of Science in Data Science and Business Analytics program at UNC Charlotte, I gained expertise in data analysis, programming, and web technologies. I completed projects using various data analysis techniques and languages, which helped me develop a strong foundation in data-driven decision-making.
2016-2020
Bachelor of Technology in Computer Science and Engineering
JNTU Hyderabad
Hyderabad, India
In the Bachelor of Technology in Computer Science and Engineering program at JNTU Hyderabad, I gained a strong foundation in computer science and programming. The program also helped me develop critical thinking and problem-solving skills that are essential for a successful career in business analysis.
Professional Skillset
Data Analysis & Visualization
Business Intelligence
Project Management
Programming Languages
TECHNICAL SKILLS
Programming Languages
JAVA, Python, R, C, C++, HTML, CSS, PHP, JavaScript.
Tools and Libraries
NumPy, Pandas, Apache Spark/PySpark, Hadoop, Apache Hive, Apache Kafka, Matplotlib, Seaborn, Altair, Plotly, Big Data, Big Query, Pycharm, Airflow, PyTorch, XGBoost, SciPy, Spacy.Power BI, Tableau, Git, GitHub, Bitbucket, AWS, Microsoft Azure, Django, Streamlit, Flask, Statistics.
Database
MySQL, MongoDB, PostgreSQL, NoSQL, Amazon Redshift, MS SQL Server, Snowflake.
Data Science
Machine Learning Algorithms, Deep Learning, NLP, Regression, Classification, Clustering, Recommendation, Neural Networks, TensorFlow, BERT, ARIMA, TensorFlow, Keras, Sci-kit Learn, Topic modeling, FRCNN, YOLO, ResNet50, LSTM, K-mean Cluster, GAN, CNN, RNN, FFNN, NTLK.
AWARDS
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Published a paper, "Beyond Privacy: Understanding and Mitigating Doxing in the Digital Environment," addressing
strategies to combat digital privacy threats. https://hdl.handle.net/10125/109143 -
Published a research paper on Job shifting Prediction and Analysis Using Machine Learning at https://iopscience.iop.org/article/10.1088/1742- 6596/1228/1/012056
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Smart India Hackathon 2019 Grand finalist.
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Participated in Student Data Fest 2018: The Data Supremacy and secured rank 4 conducted by Analytics Vidhya.
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Participated in Women in Data Science (WiDS Datathon) 2023 and secured the top 12% rank conducted by Kaggle.
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Participated in the Carolina Hurricanes Sports Business Analytics Challenge.
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Truist 2023 Data Modelling Competition Grand Finalist.
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Orchestrated the Dev-engers Hack Night - Hack on Azure event at Microsoft Hyderabad
CERTIFICATIONS
• Microsoft Technology Associate - Python Programming
• Certificate on successfully completing an internship for 45 days on Machine Learning at Verzeo eduTech Pvt Ltd
ACTIVITIES
• Participating in Machine Learning and Data Science Hackathons in Kaggle and Analytics Vidhya.
• Part of a hackathon team which was organized by Microsoft in collaboration with skillenza to scale their Machine Learning applications techniques in the Stock Market which was implemented at the side of sending alerts to customers of their choices through messages or by push notification services.
POSITION OF RESPONSIBILITY
• Student convener -responsible for coordinating with various student organizations, to organize events, workshops and seminars. Updated student database. kept the information updated with the faculty, 2019-2020.
• Student organizer - organized technical seminars, and job opportunities, collaborated with software companies to get sponsorship for events 2018-2019.
HOBBIES
• Participated in inter college Cricket tournament conducted at our college annual sports meet.
• Swimming