About Me
I am an experienced Data Analyst in the field of Banking and Manufacturing, also skilled in Data Science techniques i.e. Data Wrangling, Data Mining, Data Analysis, and generating Business Insights for top level management. Always inquisitive about knowing how any kind of Data can influence a business on a whole.
Skills: SQL, Tableau, Python, MATLAB, Tableau, PowerBI, Jira (Confluence), Kibana, Mural, MS Office, Dialog Flow, and RASA
Projects
Missing Data Imputation
https://github.com/singhricha2995/generalized-regression-neural-network-ensemble-for-single-imputationTools : Python(tqdm, pandas, numpy, seaborn, scipy, scikit-learn), Google Colab
The project deals with development of Python code for single imputation of missing data using a generalized regression neural network for an unlabelled numerical and categorical dataset.The incomplete data set will be divided into a complete and incomplete dataset. SAGA algorithm will be applied to choose the optimal subsets.The subsets shall be used to train the GRNN, and the model will be fed to impute the missing data. Further we will calculate the NRMS (Normalized Root mean Square) value for numerical datasets and AE value for categorical dataset by comparing the imputed data sets with the original data sets.Moreover, the algorithm shall be analyzed for runtime against the data size and dimensions.
Tools : Python, Flask, Heroku
A Web App for an Insurance company, where their customers can look up for a predicted price for the charges using demographic and basic patient health risk metrics at the time of hospitalization.
Recommending movies according the user's choices.
Used user’s favorite movies as inputs, and recommended movies similar to it. I used Random Forest for model building and evaluated it.
Tools : MATLAB & Simulink
Obstacle Avoiding Robot will automatically sense the obstacle and overcome it on its path. the development and implementation involves movement of the robot moving in the forward direction until there is no object or obstacle detected in the path. Once the obstacle is detected the robot will move sideways either in left direction or right randomly to avoid collision. When the object is detected the servo motor arm will change its direction either left or right. If there is no object the servo motor arm will remain in the forward direction.
Tools : MATLAB & Simulink
Used MATLAB and Simulink environment to develop and implement an adaptive cruise control system for vehicles that automatically adjusts the vehicle speed to maintain a safe distance from vehicles ahead. The idea of building an Adaptive Cruise Control aims to let the driver in a host car set a traveling speed and automatically maintain a constant distance from the preceding car with the help of ultrasonic sensor. This project comprises of ACC system operating at moderate to high velocity, 40 and above.
Power Distribution Controlling Wireless Technology
https://www.docdroid.net/yJY3blC/power-distribution-controlling-wireless-technology-pdfProject on Power Distribution to control wireless technology.
Power is distributed according to the priority by phase tripping which uses wireless technology, i.e. RF for the avoidance of overloading.
Android App-Based Home Automation
Built an application for Android for controlling the electrical loads.
Controls the electrical loads with the help of Android application as Bluetooth input signals are received from the Android device. An 8051 micro controller is interfaced with the Bluetooth receiver.
Experience
Senior Data Analyst - AI
Royal Bank of Canada
March 2021 - Present
• Built and customized 12+ dashboards generating actionable insights for the team and internal stakeholders.
• Implemented data quality rules, maintaining threshold of ~99.8% by identifying data issues and conducting root cause analysis.
• Performed data analysis to highlight data anomalies and applied Machine learning methodologies i.e., developing chatbot to solve specific business problems
Data Science Intern
Sabudh Foundation
July 2020 - Present
• Selected for an intensive 6-month Data Science Internship Program to work on projects having a real social impact.
• Learning the fundamentals of analytics and machine learning from the leading lights in the industry and academia.
• Co-ordinating with an overseas team to learn, share, and grow the knowledge.
Machine Learning Engineer Intern
STEM-Away
May 2020 - August 2020
• Building machine learning models on Topic Suggestion, Tag Clustering, and Forum Classification techniques using Google’s BERT algorithm and achieved the optimum accuracy of 95% while training the model.
• Developing recommendation engines on 1.2M character and numerical values, preprocessed it for further analysis.
• Co-ordinating with an overseas team of 13 Machine Learning Engineers virtually, using Kanbanchi, and Google Colab.
EPICenter UWindsor
RBC EPIC Founder
February 2020 - August 2020
• Selected by the EPICenter for the RBC EPIC Founders Program 2020, an intensive Startup Accelerator program, seed funded as a summer cohort to build on the idea within the EdTech space.
• Building a software application to apply artificial intelligence to automate responses to inquiries from international students for educational institutions.
• Attending exclusive workshops and seminars with distinguished guest speakers, receiving one-on-one mentorships, coaching on design thinking, how to build a successful business model and performed analytics on market research tapping into 800 customers.
Shashi Engineering
Junior Production Engineer
October 2017 - August 2019
• Analyzed and forecasted changes in raw material cost, manufacturing methods determining effects using MS Excel.
• Estimated new and proposed product costs by comparing the previous data with Python libraries such as pandas, reports specifying and comparing factors affecting prices and profitability of products or services.
• Based on the analysis performed on the collected data, 40% of the inventory raw material was reused and it saved the expenses for upcoming projects.
Fitwell Corporation
Engineering Trainee
September 2017 - October 2017
• Worked on electrical designing of panels and commissioning of electronic variable frequency.
M.P. Power Transmission Company Ltd.
Engineering Trainee
July 2016
• Completed Industrial training in 132KV substation, learning about the power transmission process in MPPTCL with the detailed description of power generation and transmission in different sectors.
Education
University of Windsor
Master of Engineering, Electrical and Computers
2019 - Present
Majors:
Engineering Mathematics, Engineering Technical Communications, Computational Methods and Modeling for Engineering Applications, Engineering Project Management, Data Mining, Global Optimization.
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering, Electrical and Electronics
2013 - 2017
Majors:
Computer Engineering Basics, Engineering Maths, Digital Signal Processing, Computer Application to Power System, Network Analysis, Digital Electronics Logic Design, Control Systems.
Professional Certifications (In Progress)
- Practical Data Science with MATLAB Specialization (MathWorks)
- Data Mining Specialization (University of Illinois at Urbana-Champaign)
- Data Science Professional Certificate (IBM)
- Applied AI Professional Certificate (IBM)
- PLC SCADA and MATLAB (Sofcon Systems India Private Limited)
- Embedded Systems (Drmz System Innovations Pvt Ltd)