Srivatsava Appalla

857-***-**** Boston, MA

Aspiring Data Scientist and experienced Innovation Analytics Professional with 4 years of experience in statistical modeling, data analysis, and building data-intensive applications. Skilled in data management and manipulation of complex datasets. Certified Google Data Analytics Professional. Proficient in analytics tools such as Python, R, SQL, Tableau, Docker, and cloud tools such as AWS. Experienced in designing and implementing predictive models, machine learning algorithms, and dashboards to support business decision-making processes. GE APPLIANCES, Bengaluru, India Dec 2021 – Aug 2022 Data and Innovation Analytics Professional (Tech Stack: Python R SQL Tableau Git AWS)

• Designed predictive analytics models for deriving innovation insights and suggested business strategies that increased the number of patent filings by 15%.

• Drove innovation metrics of the organization, tracked success/failure of innovation metrics, and presented dashboards to stakeholders using statistical modeling and data visualization techniques.

• Created NLP-based deep learning models using TensorFlow that automatically classified patent data text into various technology fields and expedited the workflow process.

• Streamlined the model deployment process by creating automated ML pipelines using CI/CD tools, which reduced deployment time by 37%.

• Developed a competitive watch tool that tracks competitors through secondary research to determine new product introductions and technology developments in the Home Appliance industry and report trends to CXOs.

• Created dashboards and visualizations using Tableau and Power BI for market research and landscape reports according to client requirements.

• Streamlined Business Analytics, providing technology scouting, competitor and market research analysis, and custom-made reports based on client requirements.

• Worked with large and complex patent datasets and applied data-wrangling techniques in deriving niche business insights.

PROJECTS

NORTHEASTERN UNIVERSITY Graduation Date: December 2023 Master of Science in Business Analytics (GPA: 3.9/4.0) Relevant Coursework: Data Wrangling, Data Mining, Database Management, Intro to Machine Learning, Modeling for Business, Supply Chain Analytics, Operations and Supply Chain Management, Advanced DATA Research Practicum Graduate Teaching Assistant May 2023 - Dec 2023

Subjects: Data Wrangling for business, Data Mining, Intro to Business Analytics

• Developed a Gen AI-based Q&A Chatbot using LangChain and GPT 4 Tech Stack: Python, Streamlit, LangChain

• Automatic Patent Text Classifier using NLP Tech Stack: Python, NLTK, BERT

• COVID-19 chatbot using RASA Tech Stack: Python, RASA, NLP

• End-to-end defect classifier for PCB using Deep Learning Tech Stack: Python, TensorFlow, OpenCV SAGACIOUS IP, Bengaluru, India

Senior Research Analyst (Tech Stack: Python R Tableau Power BI) Jan 2018 – Dec 2021

• Google Data Analytics Professional

• Machine Learning with Python

EDUCATION

TECHNICAL SKILLS

• Programming languages/Software: Python, R, SQL, MATLAB, Alteryx, UiPath, Git, Docker, AWS, GCP

• Packages/Libraries: Pandas, NumPy, SciKit-Learn, Keras, NLTK, LangChain, PyTorch, DPLYR, Seaborn, ggplot2

• Database/Server: MySQL, Postgres, SQL server, MongoDB

• Data Visualization Tools: Tableau, Microsoft PowerBI, Qlik

• Software Tools: PyCharm, Jupyter Notebook, Snowflake, Spyder, Microsoft Office, Databricks CERTIFICATIONS

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PROFESSIONAL EXPERIENCE

SUMMARY

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