C#.NET, ASP.NET, Mvc, Java, Python, SQL Server, Oracle, SQL, HTML, Js

Charugatra Tidke

Indianapolis, Indiana 317-***-**** adcoap@r.postjobfree.com linkedin.com/in/CharugatraTidke Summary

A proficient Java, C# and Python developer, with relevant professional and academic experience to contribute towards technical solutions involving product-facing objectives in a Software Engineering role.

• Strong working knowledge of Web Applications, Big Data Management/Analytics and Machine Learning techniques

• Adept in creating software with object-oriented design patterns

• Creative thinker, problem solver and capable of working independently and in team environment Technical Skills

Languages: Java, C#, Python, C++, C

Big Data: PIG, HIVE, Cypher, Neo4j, Cloudera, AWS, Hadoop, MongoDB Web Programming: HTML5, CSS, JavaScript, React, ASP.NET, MVC Database: Oracle, MySQL, SQL server, SQL, MS Access Others: .NET Framework, Redhat Linux, Machine Learning, Data Mining, Object Oriented Design Patterns Education

Master’s in Computer and Information Science, Indiana University-Purdue University, Indianapolis(IUPUI) (GPA: 3.85), May 2020 Relevant Courses: Algorithm Design, Analysis & Implementation, Big Data Management, Big Data Analytics, Data Mining, Object-Oriented Design & Programming, Computational Methods in Analysis, Intelligent Systems, Cryptography, Data Visualization, Security Engineering

Bachelor’s in Computer Engineering, University of Pune, India (GPA: 3.60), June 2013 Relevant Courses: Data structures & Algorithms, Database Management Systems, Principals of Compiler Design, Artificial Intelligence, Software Testing & Quality Assurance, Programming & Problem Solving, Distributed Operating Systems Professional Experience

Maharashtra State Electricity Distribution Co. Ltd. India. Assistant Programmer, March 2014- April 2018

Technologies used: C#, ASP.NET, MVC, SQL Server, Java, Oracle, SOAP and RESTful webservices

Remodeled customer relationship management (CRM) and web self-services (WSS) for improved performance and shifting needs. Associated CRM’s modules to Network DBMS for accurate data inputs and provided user-friendly interface

Designed and developed ‘consumer complaint portal’ and ‘consumer complaint flow’ within the organization to manage and resolve consumer complaints effectively

Analyzed existing report system and developed new SQL queries to generate financial reports promptly

Quickly absorbed the new systems, communicated and provided trainings to co-workers having non-technical background Cognizant Technology Solutions

Programmer Analyst Trainee, August 2013- March 2014 Technologies used: C#, ASP.NET, MVC, SQL Server, VB Applications, MS Excel

Designed and developed freight management system application with inventory and finance management capabilities

Collaborated within a team to develop and implement banking and financial domain modules

Successfully completed professional training on .NET Framework Research Experience and Projects

eBay Machine Learning Competition, EvalAI (Python, Libraries: Pandas, NumPy, NLTK, Spacy, Sklearn) Achieved 92% accuracy by developing algorithms to cluster ‘Product Listings’ text data provided by eBay

ASHRAE - Great Energy Predictor III, Kaggle Competition (ML Algorithms: LGBM, DNN, Lasso & Ridge Regression) Achieved 1.2 RMSLE leaderboard score to predict future energy consumption of buildings

Restaurant Finder with Sentiment Analysis of reviews (HTML5, JavaScript, jQuery, WebServices, Java, JDBC, SQL, Neo4j graph DB, Web Scraping, Python, Sklearn, NumPy, Pandas) Designed and developed a user-friendly website to find restaurants based on user preferences and previous visits, and sentiment analysis of other user reviews. This multidisciplinary project involved a combination of Python, Java with RESTful web services, HTML5, JavaScript, Machine Learning Algorithms, Big Data management for ensuring success

Improvisation to e-Translator from English to Marathi (Python, NLTK, Stanford Parser) Successfully Developed e-translator for English to Marathi by implementing highly efficient algorithms for Word-Sense- Disambiguation, Inflection and Mapping rules

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