Sesha Shai Datta Kolli

ad5b9g@r.postjobfree.com 312-***-**** https://www.linkedin.com/in/seshukolli/ https://github.com/seshukolli https://leetcode.com/seshukolli/

EDUCATION

Masters in Computer Science, Illinois Institute Of Technology - GPA : 3.70 Courses: Machine Learning(ML), Deep Learning, Natural language processing (NLP), Data Mining, Big Data, Database org. Aug 2022 –

May 2024

Bachelor of Technology in Computer Science and Engineering, Andhra University. May 2022 SKILLS

Language and Frameworks: C, C++, Python, R, Java, c#, Keras, TensorFlow, Pytorch, NumPy, Pandas, OpenCV, Py Spark, Hive, sklearn. Web Technologies and Tools: React, Next.js, JavaScript, PHP, Git, REST API. Database and Distributed Systems: MySQL, PostgreSQL, AWS(S3, SageMaker), Hadoop, Kafka, Hbase, Bitbucket, Docker. Data Analysis &Preparation: Power BI, PowerPoint, Usability, Scalability, Structured Quantitative and Qualitative Analysis, Data Wrangling, Data Preparation.

PROJECTS

End-to-End BI Solution using Power BI, [Power BI, Data Analysis, Data Visualization, KPI Tracking, SQL, Open Source Data, Data Modeling, DAX Language, Dashboard Design]

•Led the design and execution of an end-to-end BI solution, encompassing data connection, relational modeling, KPI tracking, and trend analysis.

•Developed an interactive report to track sales, revenue, profit, returns, compare regional performance, forecast trends, and identify high-value customers, enhancing business decision-making capabilities. Mar 2024

Data Modeling with Postgres, [Data Modeling, Postgres, SQL, ETL, Cloud, Pipeline, Python, Data Ingestion, Data Transformation, Database Management, Structured Data, Analytics]

•Developed a data modeling solution using Postgres to organize and analyze structured data, demonstrating proficiency in SQL and data modeling. Implemented an ETL pipeline with Python to extract, transform, and load data into the Postgres database, showcasing skills in data ingestion and transformation.

•Acquired hands-on experience in fundamental data engineering concepts, including data modeling, data ingestion, and transformation, contributing to a robust understanding of database management and ETL processes. Jan 2023

Identification of Salt in Seismic Images Using Deep Learning, [U-Net Model, ResNet50, Image Segmentation, pattern detection, data pipelines, SQL, Machine Learning, Neural Networks, data Analysis, image data analysis]

•Built custom U-Net model to accurately segment salt regions in seismic images with 95% accuracy and 84.16 average IOU. Outperformed evaluation metrics of traditional U-Net models with Backbone architectures such as ResNet50 and ResNet101. Deployed as microservice(Docker), and integrated through API's(Micro framework Flask). Dec 2022

Fake news classification, [Twitter dataset, NLP, Python, SQL, Tokenization, Bidirectional, LSTM, Hyper-parameter Tuning, Model Evaluation, Data Preprocessing, Excel PivotTables, Data Analytics, Monitoring trends, Large Datasets]-Good Performance

•Achieved notable results with a training accuracy of 86.98% and an impressive test accuracy of 92% while maintaining minimal loss of 0.293.

•Implemented tokenization and numerical sequence generation, incorporating one-hot encoding within input tensors. Utilized Bidirectional LSTM layers with dropout and early stopping callbacks for optimal hyper-parameter tuning, demonstrating proficiency in structured quantitative analysis and data preparation techniques. May 2023

Modern Analytics Dashboard, [React, Next, Node, TypeScript, Express, MongoDB, Redis,Chart.js, D3.js, Vercel, Git, GitHub]

•The Modern Analytics Dashboard is a web application built with React.js, Next.js, and TypeScript, designed to provide real- time analytics and insights for businesses. It features customizable dashboards, data visualization with Chart.js and D3.js, and integration with external APIs like Google Analytics. The dashboard offers role-based access control, responsive design, and scalable architecture for optimal performance. Dec 2023

Real Estate Management System, [Flask (Python), MySQL, Postgres, RESTful APIs, HTML, CSS, JavaScript, Git]

•Developed a Real Estate Management System using Flask, Python, and MySQL. Designed a database schema for efficient storage of property listings and user data. Implemented RESTful APIs for seamless communication and utilized HTML/CSS/JavaScript for intuitive frontend design. Managed source code with Git. May 2023

INDUSTRIAL EXPERIENCE

CISCO – CCNA(APSBTET 4 months)

•Skilled in setting up and managing networks, handling router hardware, IP addressing, Telnet, VLANs, FTP, syslog and UDP.

•Experienced in network troubleshooting, ensuring smooth operations with ACLs, QoS, dynamic routing, UDP, and TCP. May 2019

•Proficient in network security measures, including WAN technologies, with a strong focus on router hardware, switching, UDP, and TCP.

CERTIFICATES

Microsoft Power BI Desktop for Business Intelligence Machine Learning with Python from IBM (Coursera).

CCNA R&S Routing and Switching Essentials Training [CISCO]. HTML, CSS, and JavaScript for Web Developers of John Hopkins -

(Coursera).

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization & Optimization.

Neural Networks and Deep Learning by DeepLearning.AI(Coursera). Algorithmic Toolbox from University of California San Diego –

(Coursera).

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