Hey! I am a Python Programmer based in Mumbai. I am currently working in Actuarial Science Domain and contributing to Life Insurance Companies of India.
I’m a Statistics Major working with PNB MetLife Life Insurance Co, India as an Actuarial Consultant helping them make core developments and automations. I started my programming journey in 2019 and have had my hands on various projects.
I help companies automate their business processes which leads them to saving 100s of hours spent on excel using Python, R and SAS Programming.
I am building a career in Actuarial Science with an aim to grow the Life Insurance Industry of India by making processes less manual and more value oriented.
I am always excited to collaborate and learn – feel free to reach out to learn more about me and how we can create value together. And if you’re around Mumbai, let’s grab a cup of coffee, & start discussing on how we can efficiently solve some business problems!
Hey! I am a Python Programmer based in Mumbai. I am currently working in Actuarial Science Domain and contributing to Life Insurance Companies of India.
I’m a Statistics Major working with PNB MetLife Life Insurance Co, India as an Actuarial Consultant helping them make core developments and automations. I started my programming journey in 2019 and have had my hands on various projects.
I help companies automate their business processes which leads them to saving 100s of hours spent on excel using Python, R and SAS Programming.
I am building a career in Actuarial Science with an aim to grow the Life Insurance Industry of India by making processes less manual and more value oriented.
I am always excited to collaborate and learn – feel free to reach out to learn more about me and how we can create value together. And if you’re around Mumbai, let’s grab a cup of coffee, & start discussing on how we can efficiently solve some business problems!
Analyzed survey responses of over 20000 Data Professionals on Kaggle. Created a ful-fledged report with really beautiful visualizations explaining the trends in the Data Science industry. Aim of project was to help students like me on how to be part of a data community and grow with it.
Worked on a dummy dataset to create a Dashboard on Streamlit using Python. This dashboard can be used to understand A/E Ratios with respect to different rating factors and key decisions while deciding to sell different types of Insurance Policies.
An interactive dashboard created to visualise trends of different factors affecting death. Analyzed deaths worldwide from 1990-2016 using R Programming and deployed the application on Shiny Web Server
I scrapped data from ipl.com, used kaggle data, and lots of exploration to conduct a full-fledged Statistical Analysis on Indian Premier League Data.
Visualised Confidence Intervals for average scores and analysed the top players across the seasons.
I started preparing for Actuarial Science Exams in 2020 to learn to analyze risk in the Financial and Insurance Industries.
I have cleared Actuarial Mathematics and Statistics (CM1 & CS1) Exams from IFOA and am currently studying CS2 (Risk Modelling and Survival Analysis).
Automated Reports are like periodic reports created every week/month based on updated data sources. I write code to automate this report building process using R / Python to save time spent on Excel. Automated presentations and documents using R Markdown. In Sirpi, I automated excel computation using R Programming (tidyverse, xlsx)
Business Intelligence Dashboards are interactive reports that keep updating based on parameter changes. I have created such dashboards while working at Bajaj Allianz to help management make quick decisions based on different factors. I am proficient with SAS Visual Analytics and the code version using R Shiny and Python Streamlit.
Being an Applied Statistics Major from NMIMS University, I have a deep understanding of Statistical Analysis. Tests for means, proportions, population samples, distribution assumptions and statistical assumptions of building models all come under statistical analysis.
I am good at solving Data Science Problems using Machine Learning Algorithms such as Regression, Classification and Clustering as per business needs. At SirpiDataScience, I worked on Regression and Time Series Models for windspeed Data. I have a good understanding of different algorithms and try to solve business problems using them.
I am proficient at creating Data Visualisations using the ggplot2 package in R. I have made many production-ready visualisations (as good as / better than Tableau) over the last few years. Check out my projects for the same. I have worked with seaborn, matplotib for Python. And Plotly for interactive visualisations.
I started programming with Python in 2017 and dabbled my feet in various projects such as Web Automation, Web Scraping, Mathematical Problem Solving, Stock Market Technical Analysis, Web Designing and much more. Having worked on different projects, I have been good at problem-solving and efficient solutions to business problems.
Since then, I’ve started focussing on Data Analysis and Dashboarding specifically for finding the best insights from companies’ data.
Writing smart-efficient code is what I hugely believe in and, creating automated systems to save lots of time for companies is my main goal.
I created automated reporting dashboards and interactive reports that extract live data for Bajaj Allianz. These reports help top-level management in assessing risks and making crucial decisions.
Wrote R Programming Scripts that helped Wind Energy-based companies save over 600 hours every month. Excel Computations that took over 2 hours for each use case got done in less than 2 seconds.
Having worked with two companies while being an undergraduate, I bring a strong sense of responsibility on board. I take an active interest in getting a strong domain understanding of the company’s problems and objectives. I have created automated systems, dashboards and reports for companies that have helped them save lots of time and money.