Uddit -Web Developer & Machine Learning Engineer

Aug 16, 2024

2 min read

SUMMARY PROFILE

My journey started with profound non Tech exposure in accounting, management, entrepreneurship and some of the most terrific experiences in finance.

CURRENTLY aspiring to be pro 🀄️Machine Learning Engineer; working with Machine Learning frameworks and libraries :- ♦️OPENCV♦️PyTorch♦️TensorFlow♦️Numpy♦️Pandas♦️SciKit♦️Keras♦️Matplotlib

I have the required understanding and use of Mathematics' Conditonal Probability , Baye's Theorem , Statistical Analysis and functions with respect to ML.

I had an early stage development background in Websites-both frontend and backend: proficient in HTML🎴CSS ☣️JavaScript .From basic learning to deployment of projects , i skilled myself in languages -PYTHON , C, C++ , Java .I teach machine Learning on You Tube and i have published articles upon use of ML Algorithms in classification , Regression and Clustering tasks along with deployment of small scale demo projects.

WORK EXPERIENCE

DATA ENTRY OPERATOR

GYAN DEEP MONTESSORY SCHOOL [2017-2019]

Maintained records of over 1000 students including fees, results, class

performance , attendance using MS Excel , Google Sheets ,LibreOffice Calc .

SALES OPERATIONS AND DISTRIBUTION MANAGER

SANJAY ENTERPRISES : SME-B2B & B2C [2019-2020]

I was a part-time employee at the warehouse facility at Sanjay Enterprises

,who provide bicycles, sports equipment and gym accessories in more than

1800+ service pin codes . I received exposure to billing ,inventory management ,

maintaining sales records using MS Excel , G-Suite Google Workspace, Macros, MyVyapar , GST and small exposure to Kaizen and Kanban methods of Lean Six

Sigma methodologies.

FILO TUTOR [2021] After learning from my iit-jee experiences , i mentored few hundred students in physics and mathematics through the video services of FILO TUTOR app during 3 months after my 2021 IIT-JEE Exam.
INTERN [Web Development]

WORLDOMANIA , BAREILLY [May 2023-July 2023]

I worked upon front end technologies using HTML ,CSS & Java Script in projects received by company https://worldomania.com/ from clients e.g . DAVA INDIA pharmacies , coaching institutes and MSME e-commerce service providers.

INTERN [Machine Learning]

WALKING TREE TECHNOLOGIES , AGRA [Feb 2024-April 2024]

Worked upon classification and regression ML Models ; to classify the raw data using Support Vector Machines, Linear and Logistic Regression, KNN and Naive Bayes. Most of the data fed as input to make ML models for clients (b2b) was from Govt Surveys, shopping details(frequency, behaviour to ads, age effects and availability of products in a geographical location) of customers, purchasing power at local pharmacies, automobile agencies. We had to provide interfaces that accepts user input via questioning and based on data feed, the ML classifier algorithm, displayed profile/product details/QUOTE for the user logged in.