Data Science Information Technology

Rishitha Venkannagari

Ph: 203-***-**** ad2d54@r.postjobfree.com https://www.linkedin.com/in/rishithavr/ EDUCATION

University of New Haven West Haven, Connecticut

Master of Science in Data Science (GPA: 3.71/4) Jan 2022 – May 2023 Coursework: Data Analysis, AI, ML, Data Engineering, AWS, Deep Learning, NLP. Osmania University Hyderabad, Telangana, India

Bachelor of Technology in Information Technology (GPA: 7.81/10) June 2017 – July 2021 Coursework: Big Data, Database Management, Data Structures, Cloud Computing, Software Engineering, Statistics and Probability. Experience

Indian Servers Hyderabad, Telangana, India

Project Intern May 2020 – July 2020

• Implemented Statistical Machine Learning Algorithms (Supervised and Unsupervised) using Python, specializing in PyTorch and OpenCV.

• Achieved a 20% increase in accuracy and a 25% reduction in false positives for the "Object Detection" application.

• Successfully identified and categorized over 90 objects in diverse images and videos, demonstrating a keen eye for precision and detail.

Invigo Infomedia Hyderabad, Telangana, India

Data Analyst Oct 2018 – Mar 2020

• Led a marketing analytics project, delivering data-driven insights that directly contributed to a 15% improvement in lead generation and a 10% increase in subscriber engagement.

• Designed and maintained automated dashboards for KPI/metrics reporting using Power BI.

• Provided actionable insights on lead generation, acquisition, and retention efforts, leading to a 20% enhancement in overall marketing strategy effectiveness.

ACADEMIC PROJECTS

Med Test at Home Jan 2022 – May 2022

• Spearheaded the development of MED TEST AT HOME, achieving a remarkable 98.2% accuracy rate with the Random Forest Classifier, providing a highly reliable medical prediction tool.

• Effectively communicated complex medical concepts, resulting in a streamlined collaboration that facilitated efficient project execution.

Anime Recommendation System Jan 2021 – July 2021

• Developed an anime recommendation system based on conditions defined by user requirements from 16000 different anime’s.

• Proposed Minibatch K-Means method for data clustering and iterate over 1700 times to form an undirected graph.

• Implemented Adamic Adar Measure to calculate the weights of the neighbour nodes which is used for recommendation. Student Grade Prediction System Jan 2020

• Developed a Collaborative Filtered Recommenders system using k-NN user-based Algorithm in Scikit-learn for grade predictions.

• Extensively Cleansed data, Handled Missing Values, Wrangled Data, and Feature Engineered the dataset using Pandas and performed Predictive modelling and Statistical analyses of the data using various Regression Techniques.

• Presented Graphs/Charts like Histograms, Boxplots, Bar Diagrams, and various plots to the team by using effective visualization tools/packages like Matplotlib, ggplot2, and Tableau. SKILLS

Programming Languages: Python, SQL, C, C++

Data Analysis: Python libraries (NumPy, Pandas, Scikit-learn, Matplotlib) Database: SQL, MySQL, PostgreSQL

Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM, K-Nearest Neighbours, XG Boost Data Visualization: Matplotlib, Seaborn, Power BI, Tableau Text Management Tools: Jira

Other: Requirement Gathering, Cross-Functional Collaboration, Data Management, Data Warehousing, Data Modelling (Snowflake), Quantitative Reporting, Critical Thinking, Organizational Skills Extracurricular Activities

• Successfully completed a 6-day IoT Bootcamp by Skyfi Labs, acquiring comprehensive knowledge and practical skills in Internet of Things (IoT) technologies.

• Actively contributed to a 7-day Rapid Prototyping Event focused on AI and IoT with IBM Cloud, showcasing the ability to swiftly develop innovative prototypes using cutting-edge technologies.

• Engaged in a Salesforce Trailhead Workshop facilitated by the Salesforce team, expanding proficiency in Salesforce technology, and gaining valuable insights into customer relationship management (CRM) systems.

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