Prakhar Khanduri
Bengaluru
Summary
Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
Overview
1
1
year of professional experience
Work History
Software Engineer
Societe Generale Global Solution Center
Bengaluru (Remote)
02.2023 - Current
- Worked on python and unix for scripting,automating processes and testing.
- Implemented Testing Program in python for reconciliation of existing informatica system.
- Performed Unit testing,Integration testing,non-regression testing.
- Have exposure and knowledge of ETL process and tools - Informatica Powercenter, Informatica B2B data exchange.
- Worked on writing and analyzing Oracle Mysql data base queries queries
- Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
- Analyzed proposed technical solutions based on customer requirements.
- Designed and implemented scalable applications for data extraction and analysis.
- Conducted thorough code reviews to identify potential areas for improvement.
- Estimated work hours and tracked progress using Scrum methodology and following Agile methodology.
Internship
M/s Happiest Minds (P) Ltd
- Using Reinforcement Learning (RL) for stock price prediction of Tata Motors using sales data of Tata Cars and Technical Indicators.
Education
B. Tech - Computer Science & Engineering
VIT
Vellore, India04.2023
XII -
Delhi Public School, India
Dehradun, India2018
X -
Delhi Public School, India
Dehradun, India2016
Skills
- C,C,Java
- Python Programming
- Unix, Shell Scripting
- HTML,CSS,Javascript,PHP
- Oracle MySQL
- Data Structures and Algorithms
- AI & ML Algorithm and its implementation
- ETL Modeling
- Technical reporting
- Agile Methodologies, JIRA dashboard
- Object-Oriented Programming
- Code debugging ,Testing and providing L3 support
- Problem-Solving,Data Structure & Algorithm(DSA)
- Software Development
- Parallel & Distributed Computing: OpenMP & MPI library
- Detailed Planning,Solution Recommendations,Task execution & Code reviews
- Strong Analytical skills & Good Management skills
Accomplishments
- CodeChef - 2 Star
- Kaggle contributor. Have submitted some datasets and notebooks
- Participating in weekly LeetCode contest and GeeksforGeeks to enhance my coding skills and problem solving
- Participated and organized debates & quizzes
Additional Information
Machine Learning projects and Statistical Models, Exploratory Data Analysis (EDA), Experience in Machine Learning libraries sklearn, pandas, numpy, matplotlib, Global Warming Data Viz. Research Paper
Personal Information
Date of Birth: 09/02/00
Languages: English, Hindi
Hobbies and Interests
- Data Structure & Algorithm
- Machine Learning & AI Programming for real-time solution
- Pursuing certificate course in 'Machine Learning with Python' conducted by 'Edureka'
- Enjoys coding, analytics and problem solving
- Have contributed few notebooks & Datasets to Kaggle community and practicing ML in the Kaggle community
- In-depth understanding of project lifecycle, including all phases of system and software development
- Part of VIT NGO club where we used to teach in schools and organized some events for the NGO
Projects
Supervised Learning Regression 1. Used Car price prediction using linear regression 2. Medical Insurance cost prediction using linear regression 3. Housing price prediction using KNeighbors regressor Classifier 1. Rock Vs Mine identification using logistic regression 2. Malware Analysis - Identification of data being malware or benign using naïve bayes 3. Wine quality prediction using Random Forest classifier 4. Churn/Attrition prediction Using MLP (Multilayer Perceptron) 5. Diabetes prediction using SVC (Support Vector Classifier) 6. Iris data set - flower species classification using Ada boost 7. Pneumonia detection using chest X-ray scan using CNN, AlexNet, Vgg16 (Comparative Study) Unsupervised Learning Customer Segmentation using K-means clustering Reinforcement Learning Reinforcement Learning (RL) to predict Stock Prices of Tata Motors, using sales data of Tata Cars and Technical Indicators Movie recommendation system using Cosine similarity Exploratory Data analysis and Data Visualization of Global warming dataset. Used Time-Series analysis (SARIMA) to predict the near future Global warming and showing its impact on environment Building a Voice Recognition system. It can be used to provide transcript or take automated notes during online meetings Web Programming Developed NGO management system that has functionalities both for client and admin side. Tech Stack Used: Front end: HTML, CSS, Java Script, Jquery. Back end: PHP. DATABASE: SQL Parallel and Distributed Computing Detection of duplicate images using OpenCV and parallel computing Internet of Things Developed a system to detect Air Quality Index. The model also had air purifier system which gets switched automatically on reaching alarming AQI Information Security Management Wi-fi security analysis and network protection and demonstrated various network attacks
Timeline
Software Engineer
Societe Generale Global Solution Center
02.2023 - Current
Internship
M/s Happiest Minds (P) Ltd
B. Tech - Computer Science & Engineering
VIT
XII -
Delhi Public School, India
X -
Delhi Public School, India