Data Analyst Business Intelligence

VENKATA SAI SREELEKHA GOLLU

408-***-**** ********@*****.***

Objective: A motivated machine learning professional passionate about leveraging advanced data techniques to drive strategic business insights. EDUCATION

San Jose State University August 2023– May 2025

• Master of Science in Data Analytics - GPA – 3.55 /4.0 San Jose, CA, USA Andhra University June 2015– June 2019

• Bachelor of Technology in Computer Science - GPA – 8.31/10.00 Andhra Pradesh, India TECHNICAL SKILLS

Languages: Python, SQL, Microsoft R, Java, C, SAS, C++, C# (Basic), HTML/CSS, XAML, Unix Databases: MySQL, No SQL- MongoDB, Neo4j, Google big query, Elastic search, AWS Services, Redshift, GCP services, Snowflake, Rest API Technology stack and tools: Jupyter notebook, MS Word, Outlook, Excel, Tableau, Power BI, SSIS, SSRS, SSMS, MongoDB Atlas, Informatica, S3, MS Office, Microsoft fabric, Quick sight, Airflow, Glue, Sage Maker, Wix, Docker, A/B testing, Azure ML studio, Hadoop, HDFS, Pyspark, Jira,, H2O.ai, Auto ML, Ubuntu, Data robot, Visio, scikit-learn, Kafka, PowerPoint, Eclipse, Git hub, Looker, Predictive Analytics, Statistical Analytics, ML Algorithms Coursework: Database Management, Data Visualization, Python, Machine learning, Data Structures, Big data Analytics, Data Science WORK EXPERIENCE

Axtria Limited Data Analyst (Decision Science) Feb 2022 – Apr 2023 Bangalore, India

• Led initiatives to plan, organize user stories, and manage metrics with Tableau and Excel, succeeding 40% performance improvement. Automated 30% of processes and streamlined reports, boosting efficiency by 50%.

• Conceptualized sales metrics, achieving an 8% increase in pharmaceutical sales in three months.

• Created daily unit tests, ensuring high-quality deliverables, and delivered before deadlines, worked on multiple adhoc requests, and produced comprehensive documentation for all processes, testing and quality check results. Infosys Limited Associate Analyst and ETL Developer Feb 2020 – Feb 2022 Hyderabad, India

• Offered extensive support in team assignments and client consultations, applied SQL for data extraction and transform queries.

• Automated processes and optimized time, reducing runtime by 25%, and improved workflows, cutting data processing times by 9%.

• Executed ETL processes adopting Informatica to load data into Snowflake from various AWS sources, enhancing system performance. E3 Tech Systems and services Full Stack Web Developer Intern May 2018 – Sept 2018 Visakhapatnam, India

• Familiarized in leading web hosting, testing, and development applying platforms like WordPress, Wix, and HostGator.

• Crafted a Web UI, SCADA screen for reactor automation with remote control, and devised 10+ UI/UX interfaces using MVVM, WPF, C#. PROJECTS

Airbnb listings Predictive Modeling with Machine Learning Python, ML, Power BI from Microsoft Fabric, Tableau September 2023

• Designed Airbnb Predictive Modeling project, secured 77% accuracy in price prediction and 85% accuracy in property recommendations.

• Employed various algorithms and data analysis techniques to amplify decision-making for property owners and potential guests. It includes data preprocessing, exploratory data analysis, visualizations, model development and evaluation. LinkedIn Job Posting Analysis My SQL, NoSQL-MongoDB, Excel, MongoDB Atlas October 2023

• Delivered impactful insights and enriched database efficiency by 15% through SQL and NoSQL analysis, optimizing AWS RDS connectivity and query response times using MySQL, NoSQL-MongoDB, Excel, and MongoDB Atlas. Pipeline for NOAA Weather Data Analysis AWS services like S3, Glue, Redshift, Quick sight, Sage maker, My SQL November 2023

• Enhanced real-time analytics by reducing data processing time by 25% and elevating weather prediction accuracy by 30% using AWS services like S3, Glue, Redshift, Quick Sight, Sage Maker, and MySQL. Commercial Building Energy Optimization with ML Python, Scikit-learn, Pandas, Numpy, Seaborn, Data Robot February 2024

• Preprocessed data from 300+ sensors and implemented PCA, Multiple Linear Regression, Random Forest, KNN, and XGBoost to predict HVAC energy consumption with 95% accuracy. Boosted building efficiency and sustainability, saving models with pickle files. Traffic Fatality Prediction Using Big Data and Machine Learning HDFS, Pyspark, ML lib, kafka March 2024

• Utilized HDFS, PySpark, and Kafka for data processing and streaming. Analyzed NHTSA traffic data, with ML models like decision trees etc.

• Accomplished prediction accuracy of 99.8%, demonstrating effectiveness of big data tools and ML techniques, predict number and severity of traffic fatalities based on various factors such as road conditions, weather, and time of incident. Cognitive Stress Level Prediction with Machine Learning Python, AWS services, scikit-learn, Numpy April 2024

• Developed a stress prediction system taking wearable sensory data and IoT algorithms where Random Forest, gaining 96% accuracy.

• Administered ADASYN for data balancing and AWS for data management. Implemented CRISP-DM methodology for project development. Increased individual well-being by enabling early stress detection and intervention. CERTIFICATIONS

Generative AI Fundamentals (Databricks), Infosys-certified SSIS and SSRS Developer, Ab Initio Professional, Global Agile Developer, Python for ML (Great Learning), Foundations Data, Data Everywhere (Google), Supervised ML: Regression and Classification (Stanford Online) LEADERSHIP/EXTRA CURRICULAR

Student Ambassador at Adobe

• Formulated marketing plan and enforced initiatives capturing at least 250 students, 20 clubs, and 5 professors interested in educating about Adobe tools. Facilitated 4+ Adobe workshops partnered with teams, empowering students to amplify Adobe application expertise. linkedin.com/in/sreelekhagollu github.com/Gollusreelekha

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