Vikas Nair

PROFESSIONAL SUMMARY

â?¢ Strategy consulting, data analytics and product development in a healthcare delivery startup to bring in standardization and implement ideas to solve critical healthcare problems.
â?¢ Professionally qualified with 3.5 yearâ??s experience in technologies used in Data Science: Python, R, and SQL,VBA,Excel,Tableau
â?¢ Experience with statistical analysis with Python and R. Specific skills include data mining experience with modeling techniques: regression, clustering, and forecasting methods.
â?¢ Computer Vision hands-on with OpenCV for image processing and video analytics


WORK EXPERIENCE

Lead Data Scientist May 2019 â?? Present
K-Arogia

ï?§ Strategy consulting with C level executives. Leading the data science team with ideas to implement in the healthcare space.
ï?§ Helped network hospitals realize a 5 year IP and OP patient life revenue opportunity and helped in implementing strategies to increase diagnostics compliance and patient reactivation rate. Implementation helped raise compliance by ~30% for three network hospitals generating additional INR 15.5 cr in total in a year.
ï?§ Implemented strategies to continuously improve Clinical Command Center (patient post discharge monitoring tool developed by K-Arogia), wrote backend scripts to automate weekly reports to hospitals.
ï?§ Clinical researcher and logic architect of Disease Mapper- a predictive tool helping doctors with fast and accurate directional sense of diagnosis of diseases to reduce medical errors and bring in standardization in the healthcare delivery system.
ï?§ Implemented predictive models on factors affecting a specific health condition, used regression to identify the factors, new findings to support fast and easy diagnosis which helped in reducing the risk of developing complications in patients.
ï?§ Independently developing a predictive NLP based product for flagging chronic conditions from patient discharge summaries. Using ensemble method with voting, models include Na�¯ve Bayes, rule based classification, sentiment analysis, word distance based classification and entity recognition POS tagging.

Trainer â?? Artificial Intelligence and Data Science (Part Time) May 2019 â?? Present
Besant Technologies

ï?§ Helping students and working professionals learn core concepts of Artificial Intelligence and Data Science.
ï?§ Developed deep neural networks for face recognition as a part of course project.
ï?§ Data Science concepts taught: data sanitization, data preprocessing, modeling techniques including regression, classification with KNN,K-means, hierarchical clustering, ,decision trees, random forest, na�¯ve bayes, Support vector machines(SVM) etc
ï?§ AI concepts taught: Perceptron, markov decision process, CNN â?? Convolutional Neural Network RNN â?? Recurrent Neural Network ANN â?? Artificial Neural Network.
ï?§ Website content creator for Besant Technologies for a new E Learning business vertical
ï?§ Responsible for interviewing and hiring trainers for Artificial Intelligence and Data Science courses

Data Scientist July 2017 - April 2019
K-Arogia

ï?§ Implemented risk-based models for conditions arising due to existing health conditions.
ï?§ Helped in implementing â??Strategy Navigatorâ?? a tool to help hospitals strategize new hospital locations considering factors like area population, bed demand, area type etc.
ï?§ Independently handling and managing an offshore project in retail segment for Speciate AI (sister company of Tronc - A US Daily), using NLP algorithms to make sense out of customer reviews of retail products
ï?§ Developed python packages for automation and script reduction including pdf based OCR using pytessaract and imagemagick
ï?§ Responsible for training team members on Python, SQL and Project Managers on Excel Spreadsheets and VBA


Jr. Data Scientist July 2016 â?? July 2017
SG Analytics

ï?§ Data mining with Forecasting Analysis for an online wholesale supermarket startup, predicted effect of network, service quality, cost, and billing with respect to the churn behavior using Logistic regression.
ï?§ Social media Analytics for Nickelodeon (owned by Viacom). Analyzed Nick shows for better viewership, talent management, and influencer analysis.
ï?§ Practiced machine learning model implementation in Python using sci-kit-learn (K nearest neighborâ??s algorithm, Forecasting, Regression on social media data.
ï?§ Developed Image processing, Video Analytics with Python skills on Linux environment using OpenCV3. Image processing skills include morphological transformations, template matching, feature extraction, background reduction, Haar Cascade Object detection etc.

Data Science Intern Jan 2016 â?? July 2016
SG Analytics

ï?§ Led a team of 25 interns to automate data extraction processes for Thuzio a sports talent database. Converted manual methods of data collection to an automated process by writing python crawlers/scrappers for extracting social media data from Facebook, Twitter, Pinterest etc. Reduced resources required for the project, increased efficiency and accuracy of the process with the project being completed well before the planed timelines.
ï?§ Helped the data analytics team in ETL processes to extract, store and preprocess unstructured social media data, to get to a model ready data state using data sanitation methods.

EDUCATION

Data Science Specialization in R and SAS (DSR and DSS) (2017)
Jigsaw Academy, Bangalore

Bachelor of Engineering in Electronics and Telecommunication (2015)
KJCOEMR, Pune, Maharashtra

BSNL certified silver, gold and platinum engineer (2015)
RTTC BSNL, Pune, and Maharashtra


AWARDS AND ACHIEVEMENTS

ï?§ Modular Snake Robot with Mapping and Navigation Research paper presented at International Conference on Computing, Communication, Control and Automation (ICCUBEA).
ï?§ Hybrid Architecture of Intelligent Wireless Distributed Control System (IWDCS): Research Paper presented at International Conference on Engineering Technology and Science, published in the issues of International Journal of Applied Engineering Research (IJAER).
ï?§ Hybrid architecture of Distributed Control System: Research Paper presented at International Conference on Engineering Technology and Science.
ï?§ Winners and Runners-up award in 2014 and 2013 for Pune District Inter-Collegiate Badminton tournaments.
ï?§ Captained the school football team.
ï?§ Participated in various singing competitions.