Finance and Analytics
I was just fifteen when I first got into the world of equities. My father, an investor, roped me
in as his research partner. We spent countless evenings analyzing balance sheets, reading market
trends, and debating which stocks were worth a second look.
Little did I know those simple father-son lessons would fuel a lifelong passion for investing,
leading me to build a strong foundation and potentially grow into a confident successful
investor. My goal is to merge fundamental research with quantitative methods, creating a unique
approach that translates data into clear, strategic insights and investment decisions.
When I’m not crunching data or plotting the next investment move, you’ll probably find me with a
ping pong paddle in hand. I’ve been hooked on the sport since I was twelve, competing in
multiple state tournaments and still chasing that perfect backhand. You can often catch me at
PingPod on West 37th or West 99th. I’m a passionate F1 fan cheering for Max Verstappen, and I
love diving into strategy games like Call of Duty, Fortnite, FIFA, and F1.
Skills
Experience
Education
Predicted Ratings of Spotify data which consisted of various aspects of a song. The best machine learning algorithm out of the 23 models which I ran to get the best fit was the hyper-tuned random forest algorithm. Engineering the supervised Random Forest algorithm gave an RMSE of 14.88767.
A selection of professional certifications and important credentials.
Made by Ishu Jaswani