RISHITHA GOLLA

Los Angeles, CA *****, 213-***-****, adwpcf@r.postjobfree.com

https://www.linkedin.com/in/gollarishitha/

EDUCATION

Master of Science

Applied Data Science

University of Southern California

Bachelor of Technology

Electronics and Communication Engineering

Kakatiya Institute of Technology and Science, Warangal, India Expected May 2024

July 2018-May 2022

CGPA: 9.18/10

RELEVANT EXPERIENCE

USC Suzanne Dworak-Peck School of Social Work Dec 2022-Mar 2023 Data Collector

• Conduct surveys with homeless people for Los Angeles Homeless count 2023

• Collaborate with 10 team members to conduct 3000 surveys throughout LA County in 3 months.

• Navigate and guide team using map in the field, contributing 120 surveys to the team. BOLT IOT, Bangalore, India June 2021-Aug 2021

Internet of Things and Machine Learning Intern

• Created a temperature and humidity predicting system using WIFI module and Arduino UNO device by deploying linear regression on Bolt IOT platform.

• Constructed a light monitoring system with WIFI module and LDR sensor, utilized JavaScript to visualize result on Bolt IOT cloud Platform, implemented Linear and logistic regressions for prediction. PROJECTS

Financial Text Analysis: Using NLP to Forecast Stock Prices Feb 2023-April 2023

• Collaborated with three teammates to extract financial data from quarterly, current, and annual reports of the top 10 companies of the past five years.

• Conducted sentiment analysis using FinBERT, TexBlob, VADER, Flair and technical using stock price history.

• Utilized LSTM and GRU models to predict stock prices based on sentiment analysis and technical analysis, achieving an average RMSE value of 6.

An intelligent approach to detect fraud in mobile money using machine learning algorithms Sep 2022-Dec 2022

• Collaborated with three team members and detected a fraud in mobile money transactions.

• Analyzed data containing 6,362,620 transactions and 11 columns. Forecasted fraud with five algorithms including Logistic Regression, K-nearest Neighbor, Naive Bayesian, XGBoost and Random Forest.

• XGBoost showed good performance in finding fraud with 99% accuracy, least False negative cases (30 out of 8197) among all other algorithms.

ACTIVITIES

• Advised and advocated 40 students in planning, executing MESA projects related to Newtons law at Mary McLeod Bethune middle school as a volunteer from November 2022.

• Guided, motivated students in developing a Paper Straw Rocket as a volunteer of USC MESA Family Day Event.

• Distributed gallons of water to the homeless people at skid row as a volunteer of LA Water Drop.

• Planted and maintained a variety of herb plants at my home and at USC garden as a part of USC SC gardening club events.

SKILLS

• Python, R, Java, C, Data Structures, HTML, MySQL, JavaScript, JSON, Natural Language Processing.

• AWS, Firebase, Hadoop, NumPy, Pandas, Matplotlib, Scikit-learn, DynamoDB, Spark, MapReduce, PyTorch.

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