Summary
Overview
Work History
Education
Skills
Accomplishments
Projects
Timeline
Generic

Sucharitha Vallabhaneni

Round Rock,TX

Summary

Highly efficient Data Scientist with 4+ years of experience in Data Analysis, Machine Learning, and Data mining. Proficient in managing the data science project lifecycle, including data acquisition, cleaning, and engineering. Detail-focused Data Analyst with knowledge in data warehousing, process validation, and business needs analysis. Proven to understand customer requirements and translate them into actionable project plans. Dedicated and hard-working with a passion for Big Data.

Overview

4
4
years of professional experience

Work History

Data Analyst

Zeta Global
06.2022 - Current
  • Spearheaded Data Exploration and Factor Analysis at Zeta Global, utilizing Python SciPy for optimized customer segmentation models, leading to more targeted marketing strategies.
  • Deployed predictive analytics models to forecast future trends.
  • Designed and executed an A/B experiment for evaluating a new recommendation system, facilitating data-driven decision-making and refined customer targeting strategies.
  • Leveraged Amazon SageMaker and AWS Glue for ML model development, enhancing customer engagement strategies.
  • Demonstrated expertise in Agile methodology and SCRUM processes, ensuring efficient deployment of data-driven marketing solutions and improved campaign performance.
  • Conducted knowledge transfer (KT) sessions with clients, aligning data analytics solutions with client objectives for enhanced customer insights.
  • Designed and implemented interactive KPI Dashboards using Looker, and Tableau to provide real-time visualizations of trends and insights into SSP platform metrics, making them accessible to internal stakeholders.
  • Spearheaded the "Ad Performance Analysis" Project, conducting in-depth assessments of ad campaign performance within the SSP platform, with a primary focus on critical metrics.
  • Implemented strategic optimizations in bidding strategies, resulting in a substantial enhancement of ad performance using ML.
  • Contributed to the "Ad Revenue Optimization" Project by developing a revenue forecasting model for the SSP platform, utilizing historical data (2+ million rows), from a diverse group of advertisers and publishers, totaling 100+ ultimately driving data-driven decision-making and enhancing revenue strategies

Graduate Research Assistant

Oklahoma State University
08.2021 - 05.2022
  • Spearheaded the "Classroom Size Analysis" project, demonstrating advanced proficiency in Python for comprehensive data analysis.
  • Developed a robust predictive model achieving a 92% accuracy rate in forecasting future enrollments, employing Python libraries such as Pandas and NumPy.
  • Conducted thorough data exploration and visualization using Matplotlib and Seaborn, ensuring precise insights for the predictive model.
  • Used advanced statistical approaches and software tools to analyze data and test hypotheses.
  • Collaborated effectively with cross-functional teams, showcasing strong communication and teamwork skills for data gathering and analysis, facilitating informed decision-making and strategic planning.
  • Presented project findings to key stakeholders, exhibiting excellent presentation skills and the ability to communicate complex data-driven insights clearly and effectively.

Program Analyst

Cognizant
08.2019 - 07.2021
  • Proficient in Python data science packages (Pandas, NumPy, matplotlib, Seaborn, SciPy, Scikit-learn, NLTK).
  • Conducted Exploratory Data Analysis to identify trends and clusters, working with a combination of unstructured and structured data from multiple sources.
  • Implemented various machine learning models (logistic regression, XG-Boost) and techniques like Regression, Tree-based ensemble methods, Time Series forecasting, KNN, and Clustering.
  • Conducted thorough Statistical Data Analysis to identify and address the root causes of payment failures, ultimately enhancing the customer experience.
  • Demonstrated expertise in data visualization using Matplotlib, creating and publishing dashboards and reports through Tableau Server.

Education

Master of Science - Business Analytics And Data Science

Oklahoma State University
Stillwater, Oklahoma
05.2023

Bachelor of Science - Computer Science And Engineering

Jawaharlal Nehru Technical University
Hyderabad, India
05.2019

Skills

  • Python, R(intermediate),SAS
  • Data Analysis
  • Git
  • Pandas, NumPy, Matplotlib, Keras, NLTK, PyTorch, Scikit-Learn, TensorFlow, Apache Spark
  • MySQL, NoSQL databases like DynamoDB, MongoDB
  • Tableau, Looker, Power BI, SAS Viya, MS Excel
  • Data Modeling
  • Statistical Analysis

Accomplishments

  • Certified Tableau Desktop Specialist, Tableau, 11/2022
  • Published paper in the SESUG Conference proceedings

Projects

Oklahoma Community Credit Union Bank| Capstone Company project  08/2021 -  05/2022

  • Developed strategies to devise action plans to optimize loan predictions, deposit rates, and the best location for market expansion by analyzing sustainable growth, maximizing customer retention, market penetration, and expansion opportunities by improving the financial well-being of people and communities.

Predicting Possible Defaulters for Consumer Loan Products  01/2022 -  05/2022

  • Identify the best approach that can be used by financial institutions which helps in accurately identifying loan defaulters for much-reduced credit risk using a machine learning Algorithm.

Timeline

Data Analyst

Zeta Global
06.2022 - Current

Graduate Research Assistant

Oklahoma State University
08.2021 - 05.2022

Program Analyst

Cognizant
08.2019 - 07.2021

Master of Science - Business Analytics And Data Science

Oklahoma State University

Bachelor of Science - Computer Science And Engineering

Jawaharlal Nehru Technical University

Similar Profiles

CREATE PROFILE
Sucharitha Vallabhaneni