Candidate

------------------------------
First Name: Sarath Kumar
E-Mail Address: sarathmngl@gmail.com
Country: United Arab Emirates
Phone: +971545768365
Current Job Designation: Consultant
Job Designation Applying For: Consultant, Data science, Data scientist, Data analyst, Data engineer, Mlops/devops, Software engineer
Total Years of Experience: 7
Copy your Resume / CV in this box: Sarath kumar Manikandan
Consultant

Abu Dhabi
+971545768365

A self-Ignited and adaptable Consultant with 7 years of experience in AWS, DevOps technologies (Docker, Kubernetes, Terraform), Data Science and machine learning. I leverage cloud infrastructure and AI-driven capabilities to deliver scalable, efficient solutions that enhance operational performance. Proficient in Python and R, I demonstrate expertise in leading cross-functional teams, deploying ML models, and optimizing workflows through AWS architecture. I continuously drive business growth through data-driven insights, innovation, and seamless automation.

PERSONAL INFORMATION
Address: , Abu Dhabi,
Nationality:
Driving License:
Hobbies:

SOCIAL PROFILES
* https://www.linkedin.com/in/sarathkumar-manikandan-420493b2: https:www.linkedin.com/in/sarathkumar-manikandan-420493b2

SKILLS
Python R
Data Science
Machine Learning
Deep learning
Data Analysis Data Visualization
AWS Azure GCP
Django & Flask
Terraform
Docker & Kubernetes
Data Engineering & Mlops
SQL GIT CI/CD
Power BI & Excel
HTML & CSS

WORK EXPERIENCE
* November 2022 â€" November 2024
Consultant at Astrazeneca, Chennai, India

Deployed AWS services using Terraform for automated, scalable cloud infrastructure.
Built and deployed machine learning models to deliver data-driven solutions, enhancing decision-making across multiple domains.
Contributed in the development of AI platforms across business units, providing scalable solutions that reduced third-party costs.
Designed and managed CI/CD pipelines to automate and accelerate web application and cloud service deployments.
Deployed web applications using Docker and Kubernetes, ensuring stability and scalability in cloud environments.
Automated tasks to reduce repetitive efforts, identified areas to eliminate excessive costs, and improved ROI on cloud investments.
Developed EDA, insights, and visualizations using Python and Power BI, providing actionable business intelligence.
Partnered with stakeholders to deliver solutions, improving user experience and onboarding new users across business towers, driving revenue growth up to 10 percentage.
Integrated Grafana and CloudWatch for performance monitoring and collaborated via ServiceNow for incident management, using Jira for project tracking.


* March 2022 â€" October 2022
Tech lead at Finsurge, Nagercoil, India

Led initiatives to scale business and portfolio growth by creating advanced AI-driven service products. Optimized performance of these solutions, ensuring alignment with business goals.
Built  AI services that solved complex business problems within the investment banking domain, delivering scalable and efficient solutions.
Created and optimized deep learning models to address intricate challenges, enhancing performance and impact across projects.
Led data engineering efforts, including data preparation, cleaning, modeling, and API integration, enabling seamless data pipelines for machine learning applications.
Provided comprehensive training sessions, mentoring the team in AI/ML methodologies, data engineering, and cloud solutions.
Collaborated directly with business teams to gather requirements and participate in project planning, ensuring effective execution of AI/ML strategies.
Developed, installed, and configured software applications in Kubernetes Cluster, ensuring seamless deployment and scalability.
Built a logical matching and extraction engine using Python and implemented rigorous unit testing with Pytest.


* June 2021 â€" March 2022
Sr. Software Engineer at Apexon(Iqvia), Bangalore, India

Collaborated directly with business teams to collect requirements and contributed to the development of logical, functional, and technical design documentation, ensuring alignment with project objectives.
Performed engineering tasks including data cleaning, preparation, and XLIF parsing to ensure high-quality input for model training and analysis.
Conducted EDA and developed visualizations using Python to provide actionable insights and inform business decisions.
Tuned and optimized machine learning models, enhancing their performance for various use cases.
Built a robust logical matching and extraction engine using Python, addressing key challenges in the business process.
Implemented and managed unit tests using Pytest, Pyselenium, and ML validation techniques, ensuring solution accuracy and automating workflows to minimize manual effort.


* July 2016 â€" January 2020
Sr. Data Analyst at Predictive Research INC, Bangalore, India
In this role, I actively engaged with clients to understand their challenges, providing solutions in dynamic environments. I swiftly adopted new technologies, delivering impactful results and consistently adding value. With a team-oriented mindset and leadership skills, I supported my colleagues and fostered collaboration.

Addressing Complex data challenges by performing EDA, Data cleaning, and also worked in regression and time series problems.
Installed and configured open-source software across dev, testing, and prod environments to ensure smooth project execution.
Executed data engineering tasks such as web scraping, data cleaning, ETL, and pipeline development to optimize data flow for analysis.
Utilized Python and R for data analysis and visualization, generating insights to drive business decisions.
Built and optimized machine learning models, including predictive models(Regression, RF) and deep learning (CNN), to solve complex business problems.
Deployed machine learning models via REST API services using Flask, Django within AWS, ensuring scalable and efficient model integration.



EDUCATION
*
,


Completed B.E. in 2015 in the stream of Computer Science and Engineering From CAPE INSTITUTE OF TECHNOLOGY (Anna University), Tirunelveli, TamilNadu.
Completed AWS cloud practioner Training provided by AWS digital.
R programming Specialization from Coursera provided by John Hopkins University, US
Introduction to Deep learning Platform Specialization from Skill soft.
Introduction with Python and Machine Learning from Data Camp.




SELF DECLARATION
* , ,

I certify that all the information furnished herein is factually correct to the best of my knowledge and belief and accept that it is subject to verification by the organization.
ACHIEVEMENTS AND QUALITIES
* Key Achievements, ,


Revenue Growth : Successfully onboarded 10+ projects from various Business Technology Groups (BTGs) to our platforms.
Cost Optimization : Achieved significant cost savings for the organization by reducing dependency on expensive services and implementing cost-effective alternatives.
Project Expansion : Identified and leveraged additional opportunities within existing projects, leading to expanded business growth and value.

* Personal Strengths, ,


Innovative Problem-Solving Possesses a creative, architectural approach to tackling complex challenges, with a patient and persistent mindset.
Adaptability & Continuous Learning Self learner with the ability to rapidly grasp and implement new technologies, constantly driven to expand knowledge.
Positive Leadership Brings positive energy and a collaborative attitude, fostering a respectful and encouraging work environment.


------------------------------