Badges
Certifications
Work Experience
Data Science Fellow
Fellowship.AI• May 2020 - August 2020
Healthcare (Deep Learning, Python) • Deployed end to end Wound Tissue Classification App using resnet models with an accuracy of 89% • Scraped more than 800 images from google search engine for database preparation for 7 wound types Virtual Meeting Room Analytics (Computer Vision, NLP, Python, OpenCV) • Developed pipeline for Speaker Diarization by video and audio of a zoom meeting with an accuracy of 50% • Compiled meeting summary based on word frequency and sentence score giving about 50% accuracy • Explored Topic modelling using Latent Dirichlet Allocation, guided LDA for meeting summarization
Teaching Assistant
Northeastern University• January 2020 - January 2020
● Mentored students in office hours. Graded assignments, quizzes, and midterms. Proof read assignments (15hpw)
Data Analyst
BSNL,India• January 2007 - July 2019
• Identified key factors for high latency in performance reporting and reduced the time by 60x by developing an app • Initiated cross-team effort to improve the Key Performance Indicator by reducing overall congestion by 50% • Application to maintain history and print performance report of more than 50 nodes (OCHLA) • Application to change tariff of different subscribers to different areas with different time schedule (INDIN) • Application to study and modify subscriber characteristics (ABOIL) • An application to store the meter reading of subscribers (TAXIL) • Application to highlight the major alarms in real time (ALAIL • Application to print report and maintain history of fault: FLTRPT • Application to reconcile the data across different technologies in BTS maintenance: DUMPAUDIT
Education
Northeastern University, Boston
Data Science, MS