Resume


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Education Education


  • Indiana University, Bloomington, IN, United States
    August 2016-May 2018
    Master of Science in Computer Science
    Major courses: Algorithm and design, Applied Machine learning, Big Data Applications and Analytics

  • Oriental Institute of Science and Technology, Bhopal, India
    August 2010-June 2014
    Bachelor of Engineering in Computer Science and Engineering
    Major courses: Data Structures, Database Management Systems

Technical Certification


  • Oracle Certified Professional, Java SE 8 Programmer
    August 2017-till date
  • Oracle Certified Associate, Java SE 8 Programmer
    June 2017-till date

Technical Technical Skills


Languages:Core Java, Spring MVC, Hibernate ORM, RESTful, Python, HTML, CSS, Bootstrap, Javascript, JQuery, C, C++, SQL
Big Data: Apache Spark, Databricks, Tableau, Hadoop
Frameworks, Tools: Microsoft CRM2011, Visual Studio, Eclipse IDE, Git, SVN, jira, SSRS, Pandas, Numpy, ML & MLib, Scikit learn, weka, Django

Professional Professional Experience


Persistent Systems, Pune, India
November 2014 – May 2016
Software Engineer

  • Project Teledynamics CRM (Microsoft CRM 2011,C#, .NET, Telerik and SSRS Reporting Tool, MYSQL, Agile)
    Implemented order tracking system integrated with billing systems, product catalogues and data warehouses to generate dynamic sales reports, addendums and product specific reports.

  • Project Showcase (Java, C++, MYSQL)
    Developed a reporting tool that queried on IBMi-series and JDE-ERP systems to analyze and generate reports and charts.

Projects Academic Projects


  • E-commerce website (Java , Spring, Hibernate, HTML, CSS, Javascript, JQuery, Maven, SQL)-Developed a website that would provide a common platform to all aspiring and experienced designer to showcase and sell their creations.

  • FoodSalsa (HTML,CSS, Bootstrap, Javascript, JQuery,PHP, SQL)-A website that facilitates easy access of menu as per cuisine and food review posts for different food joints within the University.

  • Diabetic nutritionist (Python, MySql, Scikit learn)-Applied linear regression, k-means and case based reasoning to predict whether a meal is suitable for a diabetic patient or not and provide healthier food substitutes.

  • Predicting accident prone areas(Spark, Python, Databricks, Tableau)-Analyzed, visualized, cleaned and applied decision tree and logistic regression algorithm on 2015 UK traffic dataset to classify accident prone locations by severity and dynamically plot the results on Google maps.

  • Travel Data Analysis(Spark, Python, Databricks, Tableau)- Analyzed, performed feature engineering on the dataset and implemented map reduce to find various patterns like which destinations are travelled to or from are the most.

  • Amazon employee Data Analysis (Python, Scikit learn)- Applied Dtree, SVM and logistic regression on cleaned dataset to classify employees according to role based access control.

  • Decision Tree Classifier (Java) and Bagging and Boosting (Python)- Developed decision tree classifier, bagging and ada boost without using predefined libraries for nominal values dataset and achieved an accuracy of 91% on monk UCI ML dataset.

  • Content Based Image Retrieval (Java, MYSQL, MATLAB)-Applied K-means clustering to search identical or similar images from the database with accuracy based result optimization

Awards Awards


  • Received "You made a difference" award for excellent performance in both development and testing.

  • Stood fourth in Bachelor of Engineering.


Leadership Leadership Experience


  • Women in Computing at Indiana University: Volunteered for events and served as a voice for women pursuing graduate.
  • Debugging Competition at Oriental Institute of Science and Technology: Organised the competition in Tech Fest.

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