Software Engineer - Applications

• Jun 2021 - Present

Data Science Intern

• Jun 2020 - May 2021

Busineess Analyst Intern

• Jan 2019 - Jun 2019

• Performed extensive data analysis and data mining to build custom segments of users for advertisers to ensure better targeting of ad campaigns. • In charge of collection and manipulation of large amounts of location and app ownership data in order to derive meaningful insights and recognize patterns present in data (SQL, R, Python, Excel) • Sent out detailed weekly analysis reports that increased the adoption of audiences among clients • Performed extensive data analysis and data mining to build custom segments of users for advertisers to ensure better targeting of ad campaigns. • In charge of collection and manipulation of large amounts of location and app ownership data in order to derive meaningful insights and recognize patterns present in data (SQL, R, Python, Excel) • Sent out detailed weekly analysis reports that increased the adoption of audiences among clients

Student Researcher

• Jan 2019 - May 2019

-Worked on a project to automate Subcellular Localisation of Proteins in Human Cells using Learning Techniques. Subcellular Localisation of proteins is important for early detection of diseases - Used CNN Xception Model to classify images into 15 different classes of proteins - Also built a model using Feature Extraction and Random Forest Classification - Project achieved an classification accuracy greater than Human experts - Reduces cost and time of manually classifying images -Worked on a project to automate Subcellular Localisation of Proteins in Human Cells using Learning Techniques. Subcellular Localisation of proteins is important for early detection of diseases - Used CNN Xception Model to classify images into 15 different classes of proteins - Also built a model using Feature Extraction and Random Forest Classification - Project achieved an classification accuracy greater than Human experts - Reduces cost and time of manually classifying images

Data Science Intern

• Jun 2018 - Jul 2018

1. Built a Sentiment Analysis Tool using Machine Learning to classify customer reviews. -Tool helped save time spent on manually reading and understanding customer feedback about product. 2. Built an Algorithm to track and understand user activity on company website. Algorithm analysed and visualized the country of origin, page visited and time of visit of company website users 1. Built a Sentiment Analysis Tool using Machine Learning to classify customer reviews. -Tool helped save time spent on manually reading and understanding customer feedback about product. 2. Built an Algorithm to track and understand user activity on company website. Algorithm analysed and visualized the country of origin, page visited and time of visit of company website users