During my undergraduate education, I always looked for pragmatic applications of my theoretical knowledge and of my analytical aptitude. My professional experience has taught me about leadership, team management and effective communication. These experiences involved complex challenges that required balanced interaction of technology and strategy.
Personally, I am an avid reader and love watching movies and tv shows. I am also a trained Kathak dancer with 9 years of experience and have performed in multiple shows in Mumbai. Also, I was part of college drama team and we featured in Mumbai Mirror newspaper and performed in Radio City Hall in Mumbai.
Technical Skills: Python, R studio, SQL, Tableau, MS Excel, Matlab, MS Office
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Experience
• Improving interaction interface for users and DBMS by implementation of NLP model in auto-generating SQL queries
• Employing the use of classification methods (logistic regression, random forest, SVM) and hyperparamter tuning(Grid search,Random search and Bayesian) to identify primary factors that affect the auto insurance focused on the mileage premium using shap values
• Analyzed the Telematics data to gain insights into the projections for two safe driving incentive options - rewards and money resulting in increased savings by 15% by building a pipeline to allocate GPS coordinates to indentify risks by trip type • Enhanced data governance and risk mitigation for organizational security compliance by building a Tableau CISO dashboard to improve the performance assessment using KPIs by 12 %
• Developed age verification models for the insured properties by automating data acquisition using Selenium and Pyauto
GUI resulting in releasing 2% manpower for core activities
• Served as team leader on two projects in a series of lightweight systems as part of intensely diverse cross-functional agile teams to push and accomplish innovative product targets
•Leveraging AWS to centralize consumer data in enterprise repository by collaborating with all business units
• Eliminated inefficiencies by constructing automated regression test suites for life health apps using Python
• Accelerated automation by developing a robust API testing solution using Python and CI/CD pipeline in Gitlab
• Designed automated smoke tests using SOAP UI and Python to build efficient system to automate a current manual process
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Projects
Breast cancer prediction using Machine Learning, Champaign, USA
Jan 2020 – Mar 2020
Project description• Determined the optimized ML strategies to facilitate the cancer prediction
• Built a predictive model to classify cancer patients leading to 99% accuracy
• Employed the use of deep learning methods such as CNN to obtain 83% accuracy and sensitivity
Dataset used : Breast Cancer Wisconsin (Diagnostic) Data Set for predictive model () ; For image analysis: Kaggle's website - Breast Histopathology Images (http://gleason.case.edu/webdata/jpi-dl-tutorial/IDC_regular_ps50_idx5.zip)
Patient Health Monitoring System using IOT
Jul 2018 – Apr 2019
Project description•Designed a highly efficient system that will simplify the test records for a patient during doctor’s appointment using Arduino Uno and C language
• Incorporated features to email the immediate family members or friends on crossing a certain threshold value
• Implemented circuitry that will take the pulse values from the sensor and showcase it on the lot platform
• Developed a website with better interface for the ease of the user to view the test records using HTML CSS and
PHP