End-to-end learning-based Sneaker Resale Market System
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Summary
Developed a comprehensive system to analyze and forecast sneaker resale market trends and optimize pricing strategies.
SAI SURESH REDDY CHALLA
Data Scientist
Boston, US.About
Highly accomplished Data Scientist with 5 years of experience driving data-driven innovation across SDLC, Agile/Scrum, and Waterfall methodologies. Expert in Python, R, SQL, and Java, leveraging advanced ML frameworks (TensorFlow, PyTorch) and deep learning (CNN, RNN, LSTM, GAN) to deliver predictive solutions. Proven ability to optimize processes, enhance model accuracy, and translate complex data into actionable insights using cloud platforms (AWS, Azure, GCP) and robust data visualization tools (Tableau, Power BI).
Work
BlackRock
|Data Scientist
California, CA, US
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Summary
Currently serving as a Data Scientist at BlackRock, optimizing project workflows and enhancing predictive capabilities through advanced machine learning and data visualization.
Highlights
Optimized project management workflows using Agile/Scrum methodologies, reducing project delivery time by 22%.
Developed deep learning models (CNN, RNN, LSTM, GAN) in Python, improving predictive capabilities by 28%.
Managed and processed large datasets with NumPy, Pandas, and SciPy, achieving a 40% reduction in data preprocessing time.
Led feature engineering and cross-validation initiatives for model evaluation, increasing model accuracy by 25%.
Utilized Matplotlib, Seaborn, D3.js, and Three.js to create insightful data visualizations, enhancing stakeholder understanding by 30%.
Shanvr Life Sciences PVT LTD
|Data Scientist
India, India
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Summary
As a Data Scientist at Shanvr Life Sciences, I focused on enhancing energy storage efficiency and renewable energy reliability through advanced data analysis and machine learning.
Highlights
Increased energy storage efficiency by 25% through Python, R, and SQL analysis of electrochemical batteries and energy storage devices.
Automated time-series analysis and developed Python-based ML models for flow batteries, reducing manual effort by 15% and optimizing costs.
Enhanced renewable energy reliability by predicting daily production for a 1.2 MW solar installation and implementing automated R-based testing for EV batteries.
Conducted complex data visualizations in Tableau and Power BI, facilitating data-driven decision-making and increasing operational efficiency by 20%.
Ensured stringent data cleaning and preprocessing, increasing data accuracy and reliability by 35%.
Kalven Enterprises
|Data Scientist
India, India
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Summary
As a Data Scientist at Kalven Enterprises, I delivered data-driven insights and optimized business strategies for clients through sales forecasting and large-scale data processing.
Highlights
Conducted sales forecasting for a shopping company client using ARIMA and Prophet, optimizing business strategies and decision-making processes.
Implemented large-scale data processing with Apache Spark, reducing data processing time by 30% for growing datasets.
Applied A/B testing methodologies and integrated KPIs, achieving 92.5% prediction accuracy and driving data-driven improvements.
Executed precise SQL queries and data manipulation on databases, streamlining forecasting and boosting data retrieval speed by 15%.
Leveraged AWS and Azure to manage and analyze large datasets, optimizing data storage and processing workflows by 25%.
Education
Northeastern University
Boston, MA, United States of America
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Master
Data Analytics, Machine Learning
Languages
English
Certificates
AWS Certified Cloud Practitioner
Issued By
AWS
Data Science Boot Camp with R
Skills
Methodologies
SDLC, Agile/Scrum, Waterfall.
Programming Languages
Python, SQL, R, Java.
IDEs
PyCharm, Jupyter Notebook, Visual Studio Code.
Machine Learning Frameworks & Libraries
TensorFlow, Keras, PyTorch, Scikit-learn, React.js, D3.js, Three.js.
Data Processing & Analysis
NumPy, Pandas, SciPy, Matplotlib, Seaborn.
Deep Learning
Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), Generative Adversarial Networks (GAN).
Natural Language Processing (NLP)
NLTK, SpaCy, BERT, Transformer models.
Cloud Platforms
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
Data Visualization
Tableau, Power BI.
Data Science & Engineering
Feature Engineering, Model Selection and Evaluation, Cross-Validation A/B Testing, Data Cleaning and Preprocessing.
Soft Skills
Critical Thinking, Problem-Solving, Communication Skills, Team Collaboration.
Operating Systems
Windows, Linux.
Projects
Vehicle Firmware Integration Using Honda Dataset
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Summary
Designed and deployed production-quality firmware for vehicle systems using Honda's real-world datasets, focusing on safety and performance.
Reinforcement Learning for Alarm Detection Grouping
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Summary
Applied reinforcement learning algorithms to group and detect alarm patterns in industrial systems, enhancing scalability and reducing false positives.