Anmol Garg Email & Phone Number

Toronto, ON, CA

Mississauga, Ontario, Canada

• Working on building a Jira ticket-based chatbot using ChatGPT for comprehensive question responses onJira Cloud data and catering a user experience in the form of a continuous conversation
• Enabled automatic quality checks for Salesforce Support cases and Jira Support Tickets using LLM, improvingcustomers’ support experience and streamlining the review process. Eliminated manual checks.

Mississauga, Ontario, Canada

• Crafted a pipeline to generate a digital fillable form from hand-drawn images using ChatGPT and Azure.Created a robust QA process pipeline for performance estimations and comparison between the current andprevious.
• Deployed a Resume Screening Tool in Workday using ChatGPT by gauging and filtering candidates. Thisfacilitated faster candidate selection for job requisitions, thus significantly reducing HR and hiring.
• Developed an NLP engine utilizing ChatGPT as LLM to enable control of drones through natural language(text and voice), ensuring precise execution of commands by the drone.
• Worked on customer churn prediction using several customer statistics datasets. Tree and ensemble basedmodeling employed to produce a list of customers that are predicted to retain with 90% accuracy
• Deployed ML projects that automate monitoring and rectification of low Storage space of Cloud Servers ofAWS and Azure servers using their, time series based, storage utilization data. Monitoring the ∼85%.

Course: CSC2511 - Natural Language ComputingSpeech Recognition (NLP domain)

Toronto, Ontario, Canada

• Responsible for data extraction, processing, and cleaning tasks with data from sources such as U.S. Government websites
• Parsed HTML data from Wikipedia containing political parties strength across the states (1961-2021) using Wikipedia API
• Extracted & cleaned Real-Estate Housing Data containing transactions of properties in Toronto using Pandas libTechnologies Used: Python, Pandas, Wikipedia API, LaTeX, MS Excel

Toronto, Ontario, Canada

• Built Object Detection CNN model (YOLOv3) on X-Ray Scan Images of Baggage to Detect and Classify Banned Items (for application in security checks).
• Performed Image Preprocessing, Data Augmentation; Handled class imbalance and Implemented the then state-of-art YOLOv3 model to localize banned items
• Leveraged techniques like Anchor Boxes, Non-Max Suppression, Intersection over Union, Stratified Batches to boost evaluations metrics
• Applied Adversarial Discriminative Domain Adaptation (ADDA) integrated onto YOLO architecture to come up with a novel approach to improve generalization

Toronto, Ontario, Canada

• Worked with the Director of CPIN (Prof. Zhong-Ping Feng)
• Processed Student Feedback and Survey Forms data of lectures delivered by professionals in the healthcare industry
• Performed EDA of data to draw insights about students’ experience, expectations, and career plans following graduation

Hyderabad Area, India

• Analyzed & Achieved Budget Financial Parameters – Cost, Sales and Margin (for an approximately 172 Million CADProject Sales Value) for India’s Second Largest Running Metro Network
• Credited as a primary driving force behind delivering a 10% margin over the cost of the project
• Prepared monthly Dashboard of the project displaying relevant financial and progress KPIs & relevant risks/issues
• Liaised with client and headquarters to manage project’s resources, optimize progress rate, thereby minimizing costs
• Employed Digitization at the site through the introduction of Digital Systems in Project Monitoring, Centralized Workmen and Assets Tracking, Safety Pep Talks, Centralized Procurement Rates, and Facebook @ Work
• Managed Planning Cell and worked in coherence with Task Force, HQ, and site departments thereby boosting the project progress

Hyderabad

• Interact with the project team and managers to schedule progress according to the scope of work.
• Update detailed schedules, identify cost information variances from original plan on PRIMAVERA P6 and TILOS
• Integrate a master project schedule, a baseline along with maintenance of summary level schedule reports: Gantt chart, milestone charts, progress reports at varied frequencies

Pimpri, Pune

• Underwent fitting procedures of cabin and chassis line for SAFARI STORME SUV model.
• Experienced BSR (Buzz, Squeak, and Rattle) testing procedures inside the BSR testing environmental facility as well as outside on-road testing
• Appreciated by the manager and supervisor for compiling a report listing out suggestions and advanced technology in reducing the BSR Demerit Score using advanced technology

Vellore Area, India

Praised by the Dean for assisting the Professor and teaching Students in Probability & Statistics subject

Master Of Engineering - Meng, Industrial Engineering, 3.94/4.0

Activities and Societies: AMIGAS - Admin LeadSpecialization Focus: Data Analytics & Machine Learning Modules: Decision Support Systems.

Bachelor'S In Engineering, Mechanical Engineering, 9.27/10.0

Activities and Societies: Technology & Gaming Club; Engineering & Environmental Protection Club -- Carried out several workshops and.