Aniket Sharma
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credit & Fraud Risk | Ex-Onecard | Ex-Accenture | ME'24 @IIT Kanpur
Working as Data Scientist in Fraud Risk Team at Onecard, where my core competencies in advanced NLP and machine learning techniques take center stage. My work involves developing ML models and Risk engines, preventing and flagging the fraudulent onboarding applications. At FPL Technologies, I have worked on development and deployment of Identity Theft detection system integral to the security of OneCard Onboarding flow, and I'm currently working on an SVM-ensemble Address Score model helping in identification of the quality and completeness of a Consumer address ,incorporating XgBoost and a CNN model. Previously worked as an Intern at Accenture, developing a Generative AI application utilizing techniques like Fine-Tuning and RAG, with the help of the Langchain and Llama-Index frameworks. This application was responsible for severity detection and summarization of a long Security intel report.
Indian Institute of Technology, Kanpur
Bachelor of Technology - BTech, Mechanical Engineering
January 1, 2020 – January 1, 2024
S.D.V.M Public School
12th
May 1, 2018 – April 1, 2020
Delhi Public School, Gwalior
10th
January 1, 2014 – April 1, 2018
American Express
Analyst - Data Governance and Management
May 1, 2025 – Present
Gurugram, Haryana, India · Hybrid
FPL Technologies
Data Scientist
July 1, 2024 – May 1, 2025
Pune District, Maharashtra, India · On-site
Accenture in India
Advanced Application Engineering Intern
June 1, 2023 – July 1, 2023
Bengaluru, Karnataka, India
AME, IITK
Head, Web Dept.
May 1, 2022 – June 1, 2023
Kanpur, Uttar Pradesh, India · On-site
IITK-Planner
July 1, 2023 – August 1, 2023
• Developed an university course management solution, employing Java Spring backend, React.js front end and MySQL DB. • Developed a working and responsive web application solely featuring an OTP-based login system, hosted with Firebase. • Demonstrated full-stack prowess in data modeling, REST API setup, UI design, and third-party library integration. • Developed a fully functional and responsive web-application with a OTP-based login system, hosted with Firebase’s services.
Deblurring of Fast Moving Objects (DeFMO)
June 1, 2022 – October 1, 2022
• Studied several models of image deblurring using single image and background (DeFMO, TbD-3D, BD) • Utilized Transfer Learning with ResNET-50 model to obtain the deblurred subframe renderings and the corresponding background image masks. • Estimated velocity of the FMO using translation of object's Bounding Box, masks' Centre of Geometry(obtained using image moments), and utilizing the Dense Optical Flow to figure out the rotational motion of the FMO.
RustDuino
April 1, 2021 – August 1, 2021
• Developed Rust Crates for Arduino 2560p and 328p Microcontrollers and gyro sensors, thermal, humidity sensors etc. • Created Library that is memory safe with no calls to mallocs, and using rust helps avoid memory issue of Null-pointer. • Developed a Hardware Abstraction Library and Communication Control library implementing USART and I2C protocols for Atmel ATmega328p and ATmega2560p microchips for interfacing with further sensors or peripheral devices.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from full-stack web development to embedded systems and advanced ML/AI, suggests a strong curiosity and willingness to explore different technical domains. This breadth of experience, coupled with roles in data science and advanced application engineering, indicates adaptability and a continuous learning mindset. The target role of ML Engineer aligns well with the candidate's recent professional experience and project focus on machine learning and AI.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, particularly in developing complex algorithms for real-world problems like fraud detection and name/address matching. The experience in leading a web department suggests organizational and leadership potential. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.