AWS lambda: Data Processing(Developed real-time serverless data processing modules).
DATA ANALYTICS: AWS QuickSight Dashboards, Data Cleaning, Visualization of Data insights
MACHINE LEARNING : Classification , Clustering , Regression , Fraud Detection, Natural Language Processing, Recommender System, Social Network Mining.
Google Docs: Documentation(Data model, Data sets).
STATISTICS: Probability, Distribution, Hypothesis Testing , Regressions, Time series Analysis.
PROGRAMMING LANGUAGE: Python(Scikit-Learn, Pandas , Numpy).
DATABASE : ,Relational DataBase, MySQL, Oracle
Basic knowledge of AMAZON WEB SERVICES CLOUD COMPUTING(EC2, RDS, S3, CLOUD WATCH, EBS resources to communicate with each other using IAM.).
Excellent communication (written and oral) and interpersonal skills.
Flexible and organized professional with 2+ years of teaching experience with a genuine enthusiasm and passion for Data Analytics, Cloud Technology & Mathematics.
Familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Mathematics.
Penchant for employing unique and new age teaching methods and techniques to effectively engage all the students, instilling interest and foster a fun and fascinating learning environment.
Skilled in using empathy and other emotional intelligence skills to effectively manage the target audience.
Proficient in written and spoken English and Hindi; strong written, presentation & verbal skills.
Marketing & Sales Pipeline Analysis
undefinedIn this project, we were required to build online and near real-time reports to generate insights on EdTech companies market penetration, user engagements and revenue forecasting.
I wrote complex SQL queries, python code to get the data, massage records/json, create AWS lambda functions to execute code and build dashboards with analytics widget on AWS QuickSight.
This was a complex migration project where we moved all our customers from Periscope to QuickSight. My role was to analyze the existing reports, build Analytics database, write SQLs/gather data, transform imported data, develop calcualted fields in QuickSight, create datasets, develop analytics visuals,publish analytics to dashboards and reports on AWS QuickSight, ensure correctness of the new reports, define access management rules, promote dashboards to Testing , Support testing team, fix Jira issues.
Employment Pass sponsorship required