Data Analyst, Machine Learning, Data engineering, Data scientist

SLOKA REDDY KATPALLY

+1-915-***-**** ******************@*****.***

Objective Results-oriented Business Development and Data Analytics professional with over five years of experience in customer service, sales strategy, logistics, and analytics. Proven ability to manage cross-functional teams, develop strategic partnerships, and drive business growth through data-driven insights. Skilled in B2B and B2C sales, lead generation, and market analysis to optimize business expansion. Skill

Programing Languages – Python, SQL, R, Java, HTML, JavaScript, CSS, C#, Visual Basic. Tools & Technologies – AWS, TensorFlow, Tableau, MySQL, PostgreSQL, ArcGIS, ETL Tools, Salesforce CRM, Databricks, Excel, Power BI, DAX, React.js, Bootstrap, Microsoft Access, Crystal Reports, Microsoft Reporting Services. Database & Systems: Relational database schemas, DTS packages, stored procedures, data transformation, client-server environments. Modeling Algorithms – Linear and Logistic Regression, k-Nearest Neighbors, Gradient Boosting, Naive Bayes, k-means and Recurrent Neural Network.

Expert Data Analysis – Data Mining, Machine Learning, Data Segmentation, Advanced Data Exploration, Anomaly Detection, Predictive Analytics, Time Series Analysis, Cluster Analysis, Text Analysis. Soft Skills: Effective written and oral communication, creative problem-solving, analytical thinking, inter-departmental collaboration. Education Master of Science – New Mexico State University Las Cruces, NM, USA 08/2022 – 12/2024 Bachelor of Science – MLR Institute of Technology Hyderabad, TN, India 06/2013 – 06/2017 Experience

Graduate Assistant

NMSU

NM, USA 11/2022 – 12/2024

• Developed and implemented a machine learning model to accurately predict cold chain storage temperatures, resulting in a 40% reduction in product spoilage using AWS, R, SQL, TensorFlow, Databricks etc.

• Collaborated with cross-functional teams to gather real-time data for training the machine learning model, resulting in a 20% improvement in data quality and model performance.

• Contributed to Developing a deep learning algorithm based on Geographic Information System (GIS) for detection of encroachments on private property Using methods like Land use and change, GIS, ArcGIS, used approaches like Object detection, Pixel classification, Regression of data Etc.., reducing manual inspection time by 50%.

• Developed and managed website content using HTML, JavaScript, Xml and CSS in Cascade, ensuring optimal performance, troubleshooting issues, and providing user support. Data Analyst GUS EDUCATION Hyderabad, India 06/2020 – 08/2022

• Incorporated Python, SQL and R for data manipulation and visualization to ensure data integrity and provide comprehensive, predictive analytics model. Led data projects using Agile & Jira, ensuring timely delivery and alignment with business goals.

• Designed and maintained relational database schemas for efficient data storage and retrieval, optimizing queries to reduce response time by 25% in MySQL and Microsoft Access.

• Developed stored procedures and Data Transformation Packages (DTS) to streamline data processing and reporting workflows.

• Built interactive dashboards and reports using Tableau, Power BI and automated reporting tasks using Excel and Visual Basic f or stakeholders.

• Collaborated with cross-functional teams to analyze business requirements and provide data-driven solutions for managed care operations. Data Engineer Byjus Bangalore, India 12/2016 – 02/2018

• Supported senior DBAs with on-site server migration by bulk scripting front-end reporting, back-end connection files, and reviewing security models, utilizing ETL, Snowflakes and Salesforce.

• Refactored >30 SQL stored procedures by optimizing queries, adding relevant documentation, and correcting business logic to reflect new manufacturing processes.

• Automated 90% of config table alignment using Python, SQL, and C#, saving ~15 hours/week in manual effort.

• Designed and maintained relational database schemas for efficient data storage and retrieval in client-server environments.

• Collaborated with IT teams to implement and optimize systems using Microsoft Access, Excel, and Visual Basic.

• Maintained data pipelines transferring >1MM records, at <10-minute cadence to support tactical and strategic operational decision. Projects

Radiation Monitoring and Analysis Analyst

-Led a comprehensive data analysis project to assist a city’s emergency management team in assessing radiation levels post- earthquake.

-Combined and processed data from government-operated stationary monitors and citizen-operated mobile sensors to identify radiation levels across the city.

- Conducted uncertainty analysis of radiation measurements to identify reliable data sources and regions with high uncertainty.

-Developed insights into potential contamination sources and advised on deploying additional sensors for improved monitoring Predicting Solar Flares using AIA Imagery

- Developed and evaluated CNN and CNN-LSTM models for solar flare classification using multi-wavelength images.

- Pre-processed and synchronized 2500 images from five wavelengths with GOES-16 X-ray flux data.

- Achieved 85% accuracy with the CNN model; identified issues with class imbalance and data synchronization.

- Tools & Technologies: Python, TensorFlow, Keras, SunPy, AIA imagery, GOES-16 data. Real-Time Air Writing Recognition

- Designed a deep learning system achieving 95% recognition accuracy for air-written letters using OpenCV and CNNs.

- Integrated the model with any device (TV, Phone) should be present in front of camera for real -time text conversion.

- Tools: OpenCV, TensorFlow, PyTorch, Keras, Python, CNN, RNN, NumPy, Pandas, Flask, AWS EC2, Git.

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