"I fear regret than failure"
Inspired by Deshauna Barber (Former Miss USA) - I am striving to grow into the person I need to be to fit into the big shoes of a Data Scientist.
------‐----------‐-------------------------------------------
Senior Analyst | London 🇬🇧 | Former Chicagoan 🇺🇸
Bharatiya 🇮🇳 | Storyteller💁♂️ | Traveler 🪂 | Data Aficionado 📊 | Gamer 🎮 | Researcher 📋 | Political enthusiast 🗣 | Football freak ⚽️ | Environment Conservation & Sustainability 🌱
--------‐----------------------------------------------------
Life Ambition : Become a Polar Scientist
Once in a Lifetime desire : Expedition to Greenland, Svalbard and Antarctica.
-------------------------------------------------------------
MSc in Data Science & AI, Bournemouth University, UK 🇬🇧
MEng in Computer Engineering, University of Cincinnati, USA 🇺🇸
-------------------------------------------------------------
Travel Photography 📸
Been to many beautiful parts of India, USA and UK.
Planning to check off backpacking Europe,Roadtrip to Glacier NP (USA) and Banff NP (Canada) off my list in the next few years.
------------------------------------------------------------
Environmental Data Science 📊
THESIS: Arctic's accelerated Ice melt is a consequence of Global warming 🧊
Avid interest in Earth analytics; ML & DL in the field of Earth Science and Marketing Science.
-------------------------------------------------------------
Liverpool FC ⚽️
I was a huge fan of England's Golden generation. Michael Owen made me watch Liverpool while Steven Gerrard made me a devotee to the best club in the world. I am a loyal LFC fan since I was 12 (2004).
YNWA
------------------------------------------------------------
Gamer 🎮
I am a night owl and mostly you will find me playing video games before I go to bed.
Overwatch | FIFA | Apex Legends | Age Of Empires | DOTA 2 | CS: Global Offensive
-------------------------------------------------------------
Cooking 🔪
Cooking is my stress buster. Mostly into Indian, Italian, Caribbean and Chinese cusines. Big time foodie.
-‐-----------------------------------------------------------
if the data has not been changed, no new rows will appear.
Day | Followers | Gain | % Gain |
---|---|---|---|
November 20, 2023 | 72 | +4 | +5.9% |
October 03, 2022 | 68 | -1 | -1.5% |
May 30, 2022 | 69 | -6 | -8.0% |
April 22, 2022 | 75 | +3 | +4.2% |
March 14, 2022 | 72 | +5 | +7.5% |
December 09, 2021 | 67 | -2 | -2.9% |
November 01, 2021 | 69 | +1 | +1.5% |
September 25, 2021 | 68 | +67 | +6,700.0% |