Nikhil Chhadikar

Nikhil Chhadikar

API Development, Backend Development, Cloud Technologies, Full stack Development.
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
27 years old
Location:
Dublin, Dublin Co., Ireland
Experience:
5 years
NIKHIL CHHADIKAR- | E-mail:-| LinkedIn/nikhilchhadikar EDUCATION Master of Computer Science | University of New Brunswick, CA| CGPA - 4.15/4.3 Bachelor of Technology | Computer Science | University of Pune, IN |First Class with Honors PROFESSIONAL EXPERIENCE Jan 2023 - Oct 2024 Jul 2015 - May 2019 Software Developer, HSBC Software Development (India) Pvt. Ltd. • • • • Jul 2019 - Nov 2022 Designed and implemented 50+ APIs, including Transaction Enquiry/Summary, Customer Preference Updates, Credit Limit Change, Reward Points Retrieval, and Encrypted CVV delivery, catering to diverse business units (Canada, Mexico, South-East Asia, UK). Upgraded multiple APIs from Bronze to Silver standard in the production environment, overseeing the coordination for the production release of more than 200 APIs. Developed streamlined workflows and automation scripts that reduced manual efforts by 30%, saving 4 hours per week of development time and minimizing overall development cycles. Spearheaded a 40% performance improvement of existing tools through the implementation of automation workflows using Jenkins, Python, and Groovy scripts, reducing execution times by 2 hours per run and significantly enhancing process efficiency. • zSASA, HSBC's Patented Z-Series Application for System Analysis. • Led the development of ZSASA, an HSBC tool designed to analyze extensive batch flows, to map interdependencies between COBOL programs, Copybooks, JCLs, VSAM Files, and SOL Databases efficiently, spanning to 5000 programs across organization's global business units. Student Consultant, University of New Brunswick Jan 2023 - May 2024 • Implementing Multi-Factor Authentication, troubleshooting VPN issues, administering UNB student account(s), and resolving hardware issues. • Delivered proactive IT support to the UNB community, addressing outages, fortifying cybersecurity protocols, and executing routine maintenance tasks, contributing to 98.5% uptime for consistent IT infrastructure functionality. ACADEMIC PROJECTS and RESEARCH EXPERIENCE • DISTRIBUTED SERVERLESS SPATIAL AND SQL QUERY PROCESSING – github-DaskDB Mar 2024 Pioneered the implementation of DaskDB, a unique serverless distributed data processing system on AWS, integrating spatial and SQL query capabilities with seamless cross-VPC communication, auto-scaling, and Dockerized JupyterHub, setting a new standard in scalable cloud-based data analytics. • MOVIE GENRES CLASSIFICATION – github-MGC Dec 2023 A multi-label classification project for NLP, exploring word-embedding methods (BoW, Word2Vec, GloVe, TF-IDF, Bert-Tokenizer). Assessed performance with classifiers like Logistic Regression, Naïve Bayes, SVM, KNN, BERT, RNN, and Random Forests. • RESTAURANT RESERVATION SYSTEM - github-RRS Apr 2023 A single dynamic page application developed using MySQL, Python Flask, LDAP, VueJS, HTML, CSS, Bootstrap that supports complex functionalities simultaneously while maintaining horizontal and vertical security measures for all user types. • IMAGE PROCESSING-BASED TRACKING AND COUNTING VEHICLES – IEEE Mar 2019 This research paper focuses on achieving accurate vehicle counting in a CCTV camera's region of interest, addresses traffic density at intersections, and proposes an algorithm for maintaining equitable traffic flow on streets. • EFFECTIVE SORTING USING PARALLEL COMPUTING - academia Dec 2018 This paper showcases the implementation of parallel merge and counting sort algorithms on Nvidia GPU using CUDA, resulting in a performance boost exceeding 23 times compared to existing research approaches. TECHNICAL SKILLS and TOOLS Programming Languages: Python, C/C++, Vue JS, HTML, CSS, Bootstrap, Java, Kotlin, COBOL, Groovy, JCL. Tools: Flask, Django, MongoDB, DASK, JIRA, Jenkins, GitHub, Keystore, PCF, Splunk, Confluence, Sonar Cube, Checkmarx, CAGE , PCF, GCP, Big Query, MySQL, Oracle DB, Git, Jupyter Notebook, AWS, GitHub, MS Excel. Machine Learning: Supervised/Unsupervised Learning, NLP, Classification, Clustering, Regression, Decision Trees, Time Series Forecasting, Naïve Bayes, Boosting, Predictive Models, ML Pipelines Data Mining: Python - NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, Request, Beautiful Soup, NLTK, JSON, etc. CERTIFICATIONS & AWARDS • Orange, Yellow, White Belt Certification, Secure Code Warrior • Microsoft Technology Associate, Microsoft • Circle of Excellence, HSBC Software Development India (2020, 2021)
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