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Karandas K.

Azure Certified Data Scientist Associate •Leveraged Gen AI, Machine Learning and Computer Vision algorithms to improve business processes •Turning Data Into Strategic Insights

Bengaluru

6+ years of work experience

CDM Smith
Apr 20251 yr 6 mosPresent

Hybrid

CDM Smith
Apr 20214 yrsMar 2025

Bengaluru, Karnataka, India

Object Detection/Tracking Projects: • Sewer Pipe anomaly detection and classification: Worked on this project where the objective was to detect and classify the defects found in the sewer pipelines. Was responsible to build the training model using YOLO with 96% accuracy. • Street light Classification: Worked on a Street light pole classification project where the objective was to classify the poles from the material on the street light utility poles. Successfully trained a model using YOLO with 89% mAP resulting in finding a lot of manual entry error classifications which helped save thousands of dollars. • Pavement Damage Detection: Worked on a Road damage detection project to detect the cracks and damages on the roads. Successfully trained a model using YOLO with 84% mAP. Dashboarding and EDA: • Tollway transactions: Successfully built multiple dashboards for tollway transactions with traffic volume, peak/off-peak statistics, hourly distribution, and Speed distribution on different lanes using Plotly Dash and deployed it using Green Unicorn (Gunicorn) and Nginx. Weather Data Extraction: • Worked on a prediction project where the responsibilities included Researching various other data sources for weather/rainfall forecasts. Automated process of extraction and wrangling the data using python scripts to extract NOAA Nexrad reflectivity and HRRR reflectivity based on input time and location. The research included linking reflectivity data with rain gauges and analyzing the data during the overflow of sewer pipes.
Urbanac Projects Private Limited, Bhartiya Urban
Jul 20188 mosFeb 2019

Bengaluru, Karnataka, India

Worked as a Graduate Engineer Trainee managing the data and all the information in Plant & Machinery(P&M) Department. Preparing preventive maintenance schedule, KPI, MIS Reports for the machineries and ensuring the proper usage of machineries, projects associated with construction.
Jul 20171 moJul 2017

Mangaluru, Karnataka, India

Karandas’s AI Stack

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Education

Great Lakes Institute of Management

Post Graduate Program in Data Science and Engineering, Data Science

Great Lakes Institute of Management

20192 yrs2021
Indian Institute of Technology, Madras

Advanced Certification in Data Science and Artificial Intelligence by Intellipaat, Data Science

Indian Institute of Technology, Madras

20221 yr2023

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Headline

Azure Certified Data Scientist Associate •Leveraged Gen AI, Machine Learning and Computer Vision algorithms to improve business processes •Turning Data Into Strategic Insights

About

One who loves to solve problems, demonstrated experience in Construction, Automotive, Transportation and Manufacturing Industries. Finding new insights from data excites me. A quick learner and enthusiastic about new challenges in data science which can leverage the unique combination of my technical knowledge, statistical and data driven insights.

Location

Bengaluru

AI stack

claude code

claude

github copilot

hermes agent

hugging face

replit

Work experience

Intermediate Data Science Specialist at CDM Smith, Apr 2025 - Present · 1 yr 6 mos, Hybrid

Entry Data Science Specialist at CDM Smith, Apr 2021 - Mar 2025 · 4 yrs, Bengaluru, Karnataka, India, Object Detection/Tracking Projects: • Sewer Pipe anomaly detection and classification: Worked on this project where the objective was to detect and classify the defects found in the sewer pipelines. Was responsible to build the training model using YOLO with 96% accuracy. • Street light Classification: Worked on a Street light pole classification project where the objective was to classify the poles from the material on the street light utility poles. Successfully trained a model using YOLO with 89% mAP resulting in finding a lot of manual entry error classifications which helped save thousands of dollars. • Pavement Damage Detection: Worked on a Road damage detection project to detect the cracks and damages on the roads. Successfully trained a model using YOLO with 84% mAP. Dashboarding and EDA: • Tollway transactions: Successfully built multiple dashboards for tollway transactions with traffic volume, peak/off-peak statistics, hourly distribution, and Speed distribution on different lanes using Plotly Dash and deployed it using Green Unicorn (Gunicorn) and Nginx. Weather Data Extraction: • Worked on a prediction project where the responsibilities included Researching various other data sources for weather/rainfall forecasts. Automated process of extraction and wrangling the data using python scripts to extract NOAA Nexrad reflectivity and HRRR reflectivity based on input time and location. The research included linking reflectivity data with rain gauges and analyzing the data during the overflow of sewer pipes.

Graduate Engineer Trainee at Urbanac Projects Private Limited, Bhartiya Urban, Jul 2018 - Feb 2019 · 8 mos, Bengaluru, Karnataka, India, Worked as a Graduate Engineer Trainee managing the data and all the information in Plant & Machinery(P&M) Department. Preparing preventive maintenance schedule, KPI, MIS Reports for the machineries and ensuring the proper usage of machineries, projects associated with construction.

Summer Intern at KIOCL Limited, formerly known as Kudremukh Iron Ore Co, Jul 2017 - Jul 2017 · 1 mo, Mangaluru, Karnataka, India

Education

Post Graduate Program in Data Science and Engineering, Data Science, Great Lakes Institute of Management

Advanced Certification in Data Science and Artificial Intelligence by Intellipaat, Data Science, Indian Institute of Technology, Madras