Sucharitha Vallabhaneni
Leander,TX
Summary
Data Scientist with 5+ years of experience in Data Analysis, Machine Learning, Time Series Forecasting, and Data Engineering. Proficient in the full data science lifecycle, including data acquisition, cleaning, engineering, model development, and deployment. Strong knowledge of deep learning techniques and statistical modeling, with a proven track record of applying these to optimize business outcomes. Experienced in managing large datasets (millions to billions of rows) and implementing AWS and Azure cloud solutions to drive data-driven decisions.
Overview
5
5
years of professional experience
Work History
Data Scientist
PerkinElmer
11.2023 - Current
- Led the analysis and optimization of 400 applications during PerkinElmer's corporate split, reducing the portfolio to 298 applications and achieving a 25% reduction in operational costs
- Identified and implemented cost-saving measures by evaluating usage patterns, costs, and departmental needs, resulting in a 20% increase in resource efficiency
- Created tailored visualizations using Excel and Tableau to provide actionable insights into application inventory and usage
- Integrated and analyzed data using Amazon Redshift optimizing data warehousing and analytics processes and reducing query processing time by 40%
- Designed and implemented scalable data pipelines with Amazon EMR and PySpark, enhancing data processing efficiency
- Developed time series forecasting models to predict application usage patterns, resulting in a 15% reduction in downtime and improved resource allocation
- Leveraged demand forecasting expertise to analyze historical data and predictive models, enhancing inventory management and resource allocation by 25%
- Created comprehensive documentation and conducted team training on AWS Cloud, EMR, and PySpark best practices.
Data Scientist
Zeta Global
06.2022 - 09.2023
- Spearheaded the 'Ad Performance Analysis' project by analyzing performance metrics of various ads across different publishers, identifying key trends and insights increasing campaign effectiveness by 30%
- Developed revenue and demand forecasting models using historical data (2+ million rows) to optimize ad revenue on the SSP platform, applying time series analysis to predict ad performance
- Designed and implemented deep learning models (using TensorFlow and Keras) to evaluate and refine a new recommendation system boosting customer targeting accuracy by 25%
- Utilized Python, Pandas, and Scikit-Learn for machine learning algorithms, including time series models, to predict trends in ad revenue and performance
- Created interactive dashboards using Tableau to visualize real-time SSP platform metrics and key KPIs, enhancing stakeholder insights
- Conducted A/B testing to refine and optimize the recommendation system leading to a 15% increase in customer engagement and revenue
- Conducted Knowledge Transfer (KT) sessions to align data analytics solutions with client objectives, facilitating enhanced customer insights.
Graduate Research Assistant
Oklahoma State University
08.2021 - 05.2022
- Led the 'Classroom Size Analysis' project, developing a predictive model with 92% accuracy for future enrollment prediction, improving forecast reliability by 30%
- Conducted in-depth exploratory data analysis (EDA) using Python, Matplotlib, and Seaborn to extract actionable insights
- Applied advanced statistical methods for hypothesis testing and model validation, enhancing model robustness and accuracy by 25%
- Coordinated with departments for data collection and effectively communicated findings, improving stakeholder understanding and engagement by 30%.
Senior Data Analyst
Cognizant Technological Solutions
01.2020 - 07.2021
- Contributed to the 'Temenos Payment Hub' project, showcasing SQL proficiency and improving data management efficiency by 40%
- Performed Statistical Data Analysis to diagnose and resolve payment failure issues, enhancing customer experience and reducing failure rates by 25%
- Designed and implemented a performance dashboard using Tableau, integrating key metrics from various payment systems to support data-driven decision-making
- Utilized Python data science libraries, including Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-learn, and NLTK for comprehensive data analysis and model development
- Conducted Exploratory Data Analysis (EDA) to uncover trends and clusters in both structured and unstructured data
- Developed and applied various machine learning models and techniques, such as Regression, Tree-based ensemble methods, and Clustering
- Demonstrated expertise in data visualization using Matplotlib and Tableau Server, creating and publishing interactive dashboards and reports.
Education
MS Business Analytics & Data Science -
Oklahoma State University
05.2023
B. Tech in Computer Science & Engineering -
Jawaharlal Nehru Technical University
05.2019
Skills
- Programming Languages: Python (Pandas, NumPy, Matplotlib, Keras, NLTK, PyTorch, Scikit-Learn, TensorFlow, PySpark), R, SAS, C, snowflake
- Data Analytics/Visualization Tools: JMP, Tableau, Microsoft Power BI, DAX, SAS Enterprise Miner, SAS Enterprise Guide, SAS Viya, MS Excel, Looker
- Cloud: AWS (SageMaker, EMR, S3, Athena, Redshift), Microsoft Azure (Synapse Analytics, Databricks)
- Database: MS SQL Server, ETL, Oracle, DB2, Teradata
- Big Data: Hadoop
- Analytical: Time Series Forecasting, Deep Learning, Machine Learning, Data Mining, Data Pre-Processing, Data Visualization, Data Modeling, Statistical Analysis, A/B Testing
Websites
Accomplishments
- LeClaire Scholarship for Women - Awarded at Oklahoma State University for academic excellence and leadership.
- Research Paper Presentation and Publication - Presented and published research at the SESUG Conference, receiving a grant for outstanding contribution to data science research.
- Best Performer Award - Recognized as the Best Performer in the team at Cognizant for consistently exceeding project goals and delivering exceptional results.
Timeline
Data Scientist
PerkinElmer
11.2023 - Current
Data Scientist
Zeta Global
06.2022 - 09.2023
Graduate Research Assistant
Oklahoma State University
08.2021 - 05.2022
Senior Data Analyst
Cognizant Technological Solutions
01.2020 - 07.2021
MS Business Analytics & Data Science -
Oklahoma State University
B. Tech in Computer Science & Engineering -
Jawaharlal Nehru Technical University
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