Ajeet kumar

Senior Data Scientist

Sony•  December 2022 - Present

● Developing algorithms and systems that enable computers to interpret and understand visual data such as images and videos and models to perform tasks such as object detection, recognition, tracking, and image segmentation. ● Utilize image processing techniques such as filtering, enhancement, and feature extraction to preprocess and improve the quality of visual data. Extract meaningful features from images and videos. ● Stay updated with the latest advancements in computer vision, deep learning, and related fields, and apply cutting-edge techniques to improve the accuracy and performance of computer vision systems. ● Proficient in utilizing FFmpeg for comprehensive video frame processing and audio manipulation, including stream processing, frame manipulation, and seamless audio-video concatenation. ● Skilled in leveraging state-of-the-art LLM and GenAI models such as Falcon, M2M, LAMA, StableLM, LoRA, and SAM for diverse natural language processing tasks with precision and efficiency. ● Human Motion Search or Analysis:  Developing algorithms and systems for human motion search and analysis using the Tensorflow Movenet model to determine and examine human poses, the system extracts features from images or videos, stores them in a database, and performs similarity on new inputs vs. training pose features. ● Generate match Highlight:  Design and develop systems for basketball highlights that assist in generating the overall game highlights from the game. It means recognizing each basketball shot from the full game, and based on that, it will generate the match highlight from the full game

Data Scientist

HTC Global Sevices•  April 2021 - December 2022

• Maintain and catalog, existing and newly created analytics models. Collaborate with data scientists, catalog and document newly created models. • Work on data pipelining of input data sources to enable prediction models to multiple regions and crops and automate data pipelining of input data to be used in prediction modeling and production activities. • Create necessary workflow structures to use in automated production environments, develop partnerships across regions, and contribute to expanding and improving the prediction models. • Collaborate with breeding partners across the globe to expand prediction models to new crops and pipelines. • Deploy analytics models into a production environment using Airflow DAG and manage analytics activities based on the harvest schedule. • Work with breeding/regional leads to manage and maintain analytics schedules and deliver required prediction reports on time. • Experience in creating docker leveraging existing Linux Containers in addition to creating docker from scratch. • Experience Apache airflow DAG, implement model flow, and deploy & test the automation in Airflow DAG.

Software Engineer(Data Science and AI)

Mindscape Computing Pvt Ltd•  November 2019 - April 2021

● Data Visualization & Modeling:- Compiled pricing data for competitive analysis by performing web scraping in Python Supervised model development, testing & validation of 100+ financial products and services Created charts in Jupyter Notebook & Colaboratory notebook to perform preliminary analysis & visualize data using Matplotlib. ● Predictive Modeling & Algorithm:- Predicted stock price with good accuracy to enable the company to make informed investments Determining optimal pricing strategies to facilitate the management of funds & achieve revenue goals. Developed an algorithm to understand customer behavior leading to 95% success In targeted marketing campaigns. ● Clustering & Classification:- Conceptualized & implemented an image classification to classified the using Convolution Neural Network in Keras and Tensorflow. Conceptualized & implemented a sentiment analysis tool to rate the financial Competence of companies using machine Learning Or Deep Learning. Originated a recommendation engine to suggest an ideal cluster price for financial services offered by top companies.

Consultant

Value point system Pvt Ltd•  February 2019 - October 2019

Data Preprocessing:- ● Use ETL Pipeline to extract data from a variety of data sources like RDBMS servers like Oracle. MS SQL servers, API. ● Perform EDA like Univariate, Bivariate, MultiVariate analysis to understand which variable or feature has more important for business problems. ● After Perform Exploratory data analysis, then data preprocessing, such as Data Cleaning, and Data Manipulation using python. Data Visualization & Modeling ● Data Visualization (Matplotlib, Seaborn). Then Apply the machine learning model on given Datasets. ● The last step is model selection, and implementation to achieve optimized business solutions. and Deployment. ● Predictive Modeling & Data Mining Built a predictive model to analyze customer food preferences leading to a 40% reduction in food wastage ● Employed advanced text mining algorithms to facilitate the identification of search intent latent in individual keywords