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IT Business/Data Analyst

Location:
San Jose, CA
Posted:
October 19, 2023

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Resume:

Supreetha Naik

San Jose, CA +1-669-***-**** ad0hxl@r.postjobfree.com LinkedIn GitHub SWE’23

PROFESSIONAL SUMMARY:

5+ years of experience as an IT data/business analyst. Strong SQL and CRM skills, building reporting/KPI dashboards using Tableau and Power BI. ETL processing, with AWS, GCP; PySpark. Seeking full-time roles in data science, data/business analysis, and engineer positions. TECHNICAL SKILLS:

Programming Languages: Python, SQL

Cloud: AWS Glue, EMR, Lambda, Brew, S3, PySpark, Google Cloud (GCP), Streamlit Libraries: Numpy, Pandas, ScikitLearn, MatplotLib, Seaborn, Tensorflow, Pytorch, Keras, Scipy, OpenCV Database: MongoDB, Rapid SQL, Toad DB, MySQL Workbench, AWS RDS, Redshift, S3, Google BigQuery ML / DL: Computer vision, NLP, CNN, RNN, LSTM, BERT, eLMO, GPT3, NER, PCA, Supervised, Unsupervised, MLOps, Pipelines WORK EXPERIENCE

Data Science Intern – NLP Hindsight Technology Solutions New Jersey, 06/2023 – 08/2023

• Created sentiment analysis classification for the data science team on 53K records using LLM MPNET and GTR (T5 generator) models.

• Optimized parallel processing to accelerate NER on 17 million records using state of the art models. Skills: Machine Learning, Deep Learning, Embeddings, Python, Tensorflow, NLP, statistical modeling, data science, PyTorch, Scikit-Learn Senior Analyst Accenture Bangalore, 04/2021 – 01/2022

• Led Agile Scrum team (data quality), and identified anomalies in test datasets, resulting in a 20% reduction of data acquiring time.

• Monitored Kafka pipeline to ensure data integrity, and consistency from the upstream; led process improvements within the team.

• Collaborated with cross-functional teams & developed Tableau reports, providing data-driven insights.

• Spearheaded database migration, resulting in a 40% enhancement in system performance; managed business processes. Skills: SQL, Azure, Jira, Tableau, Kafka, data modeling, status reports, Agile, Powerpoint, analytical skills IT Data Analyst Morgan Stanley Bangalore, 01/2019 – 03/2021

• Processed loan datasets, leveraging AWS Athena for querying and analyzing loan data stored in S3, enabling faster data access and retrieval.

• Devised ETL data models ensuring seamless integration with lending applications, resulting in a 30% reduction in data processing time.

• Optimized SQL queries in PostgreSQL that improved query performance by 30% and implemented A/B testing. Skills: ETL, development, AWS Athena, S3, data modeling, SQL, Tableau, Agile, CRM, Excel, networking, communication skills Software Quality Assurance Engineer TATA Consultancy Services Chennai, 09/2016 – 12/2018

• Devised 800+ business cases in SQA team, test reports, Rest API, (CI/CD) pipelines in git and Jenkins for business requirements.

• Created and managed opportunities on the Salesforce CRM platform for customers with our banking products.

• Managed project delivery information and liaised with stakeholders, developers, and business analysts for business requirements. SELECTED ACADEMIC PROJECTS

Stack Overflow Ranking System Using NLP San Jose State University Ongoing

• Built stack overflow search algorithm on 53K records leveraging BERT with BiLSTM and eLMO on StackOverflow, Reddit API data

• Conducted research on Facebook AI similarity search and Approximate nearest neighbor to build ranking model. GOOGLE Isolated Sign Language Recognition Challenge, 01/2023, Kaggle

• Developed a Tensorflow Lite model operating 56GB of MediaPipe Holistic landmark data to classify ASL based on 543 landmarks.

• Built LSTM and Transformer models and attained 72% and 65% classification accuracy, respectively. Music Recommendation System for Mental Health, 01/2023, GitHub

• Engineered music recommendation chatbot using Machine Learning – XGBoost, Random Forest, KNN, SVM on dataset of 100K records.

• Implemented collaborative filtering using SVD to enhance system with 91% accuracy and deployment on Streamlit. EDUCATION

Master's (M.S), Data Analytics, GPA – 3.7 San Jose State University, San Jose, California 12/2023 Bachelor of Engineering, Electronics and Communication, GPA – 8.7/10 Visvesvaraya Technological University, India 09/2015 PUBLICATIONS

http://www.irphouse.com/ijeee/ijeeev8n1_09.pdf, International Journal of Electronic and Electrical Engineering. ISSN 0974-2174 Volume 8, Number 1 (2015), pp. 71-75 © International Research Publication House, http://www.irphouse.com ACTIVITIES

Graduate Teaching Assistant, Machine Learning & Deep Learning, San Jose State University 01/2023 – Present

• Instructed in-person lectures on supervised learning, ensemble models, computer vision classification, NLP, and neural networks.



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