About
I am Lavanya, a graduate student from Carnegie Mellon University (CMU), Computer Science (CS), Language Technologies Institute (LTI); and a passionate Sr. AI/ML research professional at JPMorgan Chase & Co. in their specialized Machine Learning Center of Excellence (MLCOE) vertical.
I am an experienced ML professional with 5+ years of experience in designing and developing intelligent solutions in Machine Learning, Natural Language Processing (NLP), and Computer Vision (CV) domains. Ownership excites me and I thrive in fast-paced cross-functional teams that solve business problems through technical prowess.
I am an avid tech speaker and have delivered several talks and participated in panel discussions at conferences like Women in Data Science (WiDS), PyData, TensorFlow User Group (TFUG), MindHack! Summit etc. In addition, I am dedicated to mentorship and career guidance targeted at young data science and ML aspirants via collaborations with multiple organizations like Anita Borg, Women in Coding and Data Science (WiCDS) etc.
Blog: https://lava18.medium.com/see more
Experience
Tell us about your professional experience
Education
Where did you complete your basic education from?
Skills
SQL
Python
Data Science and AI
Deep Learning
Machine Learning
Accomplishments
Certifications
Projects
Relative Ranking and Analysis of National Family Health Survey (NFHS)-3
Completion Date : Apr 2015
Dealt with a sensitive, yet enormously socially-relevant aspect of computational data sciences. In the project, we were able to identify a means of quantifying and relating the 'relative rank' of a person that he/she assumes in a society based on monthly income, to his/her healthy well-being (in terms of tobacco consumption) using statistical modeling. The project involved carefully choosing and extracting useful information from the survey dataset NFHS-3 followed by data analytics techniques, deploying R programming and the tool STATA.
Anti-Theft Bag
Completion Date : Jan 2015
Presented an innovative and exciting prototype of an anti-theft ladies bag using Arduino, BLE-enabled Tah, RFID tags, RFID reader, GPS and GSM modules and buzzers. Made secure against 3 kinds of bag thefts - chain opening, tampering or snatching of bag and leaving the bag unattended.
All the electronic components were stitched into the bag inconspicuously using conductive cloth and threads. This prototype proves to serve as a deterrent to bag thefts.
Software Suite for Blind People's Association, Ahmedabad
Completion Date : Jan 2015
Designed and developed a Windows-based desktop software to be used by the visually-challenged. Software was aided with the functionality of JAWS screen reader through JAWS Scripting language to substitute mouse actions with keyboard shortcut keys for easier operability and navigation by the blind.
Software was well received by the Blind People's Association and is being currently used to manage the hospital and patient records.
Languages
English
About
I am Lavanya, a graduate student from Carnegie Mellon University (CMU), Computer Science (CS), Language Technologies Institute (LTI); and a passionate Sr. AI/ML research professional at JPMorgan Chase & Co. in their specialized Machine Learning Center of Excellence (MLCOE) vertical.
I am an experienced ML professional with 5+ years of experience in designing and developing intelligent solutions in Machine Learning, Natural Language Processing (NLP), and Computer Vision (CV) domains. Ownership excites me and I thrive in fast-paced cross-functional teams that solve business problems through technical prowess.
I am an avid tech speaker and have delivered several talks and participated in panel discussions at conferences like Women in Data Science (WiDS), PyData, TensorFlow User Group (TFUG), MindHack! Summit etc. In addition, I am dedicated to mentorship and career guidance targeted at young data science and ML aspirants via collaborations with multiple organizations like Anita Borg, Women in Coding and Data Science (WiCDS) etc.
Blog: https://lava18.medium.com/see more
Reviews