Abhijit Tripathy

Presear Softwares dominates in building solutions that can assist you with zeroing overheads for technology and increasing mindfulness in your business by following "FUMER". FUMER is a technical term coined by us which stands on the principle of building quality software which is Functional, Usable, Maintainable, Efficient and Reliable. Our ultimate goal is to provide quality software which can help our client companies scale up. We promote women in tech and business by straight forwardly reserving 50% positions of our company to females.

Member of the Governing body of the GGV Startup Foundation (GSF) and NIDHI iTBI.

Program Advisory Group (PAG) member of the Technology Enabling Centre (TEC), Guru Ghasidas Vishwavidyalaya, Bilaspur.

Offering expert advice to emerging data scientists, helping them navigate challenges and maximize their potential and Contributing to the development of strategies that promote cutting-edge technology and data-driven solutions.

Driving company sales by sourcing new clients, and by convincing existing clients to purchase added offerings.

Aligned projects with business goals, constructed detailed work plans, managed teams, achieved milestones and communicated the result across a stakeholder audience. Delivered internal projects and handled related compliances.

Worked on stock market data, automated market maker, machine learning models for stock market prediction, and learned about crypto protocols.

Mentored the Cohort 3 of the KaggleX BIPOC Mentorship Program

Got selected as a mentor for the KaggleX BIPOC mentorship program. Mentored a project on "Stroke Prediction Using Machine Learning", which was based on Tabular data. EDA, Data Processing, Feature Extraction, Handling Imbalanced Data, Feature Scaling along with Hyperparameter tunning has been conducted. Project Showcase - https://www.kaggle.com/cohort2-2023-project-showcase

Pitched for AIC and defended a budget of INR 10 crore for investment from Atal Incubation Mission on behalf of the Central University.

Selected as an Evaluator for the Smart India Hackathon, my primary responsibility is to evaluate the projects submitted by students around India.

Worked on developing an AI Algorithm for Sleep Pose Estimation to Improve Sleep Apnea Condition by using neural networks and deep learning.

Research work on - Thermal Image superimposed with Video Frames for Scalable Realtime Crowd Surveillance

Graduated with a Master of Science in Business Studies, specializing in various facets of the business landscape. Passionate about applying strategic thinking, analytical prowess, and a profound understanding of business principles to propel organizational growth and success. Aiming to cultivate a holistic understanding of critical business domains such as finance, marketing, operations, and leadership. Eager to translate academic insights into practical solutions for real-world business challenges. Committed to ongoing learning and professional development to remain at the forefront of industry trends and best practices.

Completed a research-intensive M.Tech focused on Computer Vision and AI. My thesis, titled "Real-time Scalable Crowd Surveillance with Vision Transformers: Behavioral Analysis, Anomaly Detection, and Dynamic Flow Management", explored the application of deep learning models like ViT for smart city surveillance. Worked on multiple AI projects, including behavioral pattern recognition, anomaly detection, and real-time visual analytics.

I have completed a CPD-accredited Diploma in Business Management and Entrepreneurship, which has equipped me with a comprehensive understanding of core business principles and entrepreneurial skills.

As a passionate professional dedicated to continuous learning and growth, I recently completed a comprehensive Business Management Short Course. This program has equipped me with a solid foundation in key business principles, strategic thinking, and leadership skills. Throughout the course, I engaged in practical exercises and case studies, enhancing my ability to analyze business challenges, make data-driven decisions, and implement effective solutions.

Published 1 research paper in my third semester in International Journal named "IJSR". The research is on a Graph algorithm to find Transitive Closure in an optimal way. I hold 3 patents in the field of Computer Science in just my 7th sem.

In this Specialization, I have developed knowledge and skills in the interconnected spheres of business and marketing. This is facilitated by the application of a global perspective, which enables you to recognise market opportunities and how to create a competitive advantage by reflecting on both short and long-term operational and marketing-driven issues.

This Specialization builds on the success of the Python for Everybody course and has introduced fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. [Provided by coursera platform]

7 week bootcamp with interactive coding challenges, video lessons, projects and expert instructors to teach you to build smart contracts, master solidity, and become a web3 developer.

ONGOING Courses Taken : - Foundations of Modern Finance I - Foundations of Modern Finance II - Financial Accounting - Mathematical Methods for Quantitative Finance - Derivatives Markets: Advanced Modeling and Strategies

ONGOING Courses Taken : - Supply Chain Analytics - Supply Chain Fundamentals - Supply Chain Design - Supply Chain Dynamics - Supply Chain Technology and Systems