Ajay Kumar K V

About Me

I am Ajay Kumar K V, a proactive Senior MIS Executive (Data Analyst) with a strong specialization in healthcare data analysis and extensive experience in dynamic startup environments. I excel in leveraging advanced tools such as Power BI, SSRS, and Power Automate to deliver actionable insights, streamline operations, and enhance decision-making. Currently leading a team at AVM Labs, I focus on developing comprehensive MIS dashboards, automating reporting workflows, and driving data-driven decisions through meticulous data management and visualization. My expertise spans data science, data modeling, and ETL processes, ensuring clean and effective data strategies. Passionate about continuous learning and professional growth, I am eager to contribute to innovative and impactful projects within forward-thinking organizations.

Resume

Skills

Languages

Python

SQL

HTML

CSS

Frameworks and Libraries

NumPy

Pandas

Matplotlib

Database Systems

MongoDB

SSMS and SSRS

Data Visualization Tools

Power BI

Tableau

Microsoft Power Platform Tools

Power Apps

Power Automate

Artificial Intelligence

Machine Learning

Deep Learning

Qualification

Education

M. Sc in Data Science

Reva University, Bengaluru, India 2021 - 2023 CGPA - 9.3

I pursued my Master of Science in Data Science at Reva University, where I gained comprehensive knowledge and practical expertise in data-driven technologies. The program offered an in-depth understanding of core and advanced concepts, including machine learning, Python programming, data visualization, and big data analytics.

I developed strong analytical and problem-solving skills by working on diverse real-world projects, applying statistical techniques and predictive modeling to uncover insights from complex datasets. The curriculum also emphasized hands-on experience with cutting-edge tools and technologies such as NoSQL, SQL, and RDBMS data platforms.

Bachelor’s Degree in PMCs

Vijaya College, Bengaluru, India 2018 - 2021 CGPA - 8.7

I completed my Bachelor of Science in Computer Science at Vijaya College, where I built a solid foundation in computing principles and programming methodologies. The curriculum covered key topics such as data structures, algorithms, database management systems, computer networks, and software development.

Experience

Senior MIS Executive (Data Analyst)

AVM Labs, Bengaluru, India 06/2023 – Current

I began my career as an intern data analyst in June 2023 and quickly advanced to a full-time MIS Executive by September 2023. Within a year, I was promoted to Senior MIS Executive in July 2024.

In my role, I am responsible for cleaning, preparing, and transforming data to empower data-driven decision-making. I develop interactive dashboards and reports using ASP.NET MVC, Power BI and SSRS, track organizational performance, and also create automated reports in SSRS. Additionally, I led the development of a Power App to improve efficiency and designed ETL processes with SQL. I utilize Power Automate to streamline workflows and optimize operations. By collaborating closely with management, I deliver actionable insights and contribute to strategic business planning through trend forecasting and performance analysis. My work focuses on leveraging data to drive business growth and enhance organizational efficiency.

ML Trainer

Indoskill, Bengaluru, India 03/2023 - 06/2023

Facilitating workshops and internship training programs at various universities and colleges. Instructing students on the fundamentals of Python, Machine Learning, and Power BI.

Portfolio

Projects

Customer Subscription Prediction

Developed a predictive model to analyze customer behavior and predict the likelihood of free users upgrading to paid subscriptions. The model utilized historical user data, including engagement patterns, usage frequency, and demographic factors, to identify key indicators of conversion. By leveraging machine learning algorithms such as logistic regression or decision trees, the model provided actionable insights into which users were most likely to convert, allowing for targeted marketing efforts and optimized revenue growth strategies. The solution helped improve customer retention, enhance the user experience, and inform business decisions around subscription plans and pricing.

Twitter Sentiment Analysis

Developed a Twitter sentiment analysis system by extracting real-time data through the Twitter API. The system processed tweets related to specific topics, brands, or products, using natural language processing (NLP) techniques to classify sentiments as positive, negative, or neutral. This analysis helped businesses understand public sentiment and identify trends, enabling data-driven decisions for marketing strategies, customer engagement, and brand positioning. The insights gained from monitoring online conversations allowed businesses to react quickly to customer feedback, improve brand image, and optimize promotional campaigns based on public opinion and emerging trends.

Portfolio Data Analysis

Created an interactive dashboard for analyzing hotel data using SQL and Power BI, providing key insights into occupancy rates, revenue, customer demographics, and booking trends. The dashboard utilized SQL queries to extract and aggregate data from multiple sources, while Power BI visualizations highlighted critical performance metrics. By incorporating forecasting models, the dashboard helped predict future trends in bookings, customer preferences, and seasonal variations. This enabled the hotel management team to make data-driven decisions, optimize pricing strategies, improve operational efficiency, and enhance customer experiences, ultimately driving revenue growth and better resource allocation.

Classification of Abnormal RBC's

Developed a predictive model to classify red blood cells (RBCs) as normal or abnormal, using machine learning algorithms to analyze cell images or blood test data. The model was trained on labeled datasets to recognize patterns associated with various blood cell abnormalities, such as anemia, sickle cell disease, or leukemia. By identifying the specific type of abnormality, the model enhanced diagnostic accuracy, assisting medical professionals in early detection and treatment planning. This approach contributed to advancements in medical diagnostics, improving efficiency, reducing human error, and enabling more precise patient care.

Certifications

MTA: 98-381 Introduction to programming using python.

Learned the fundamentals of Python programming and key libraries like Numpy, Pandas, and Matplotlib for data analysis and visualization.
Certificate complete id: 4qNx-XMRJ
Certification url: verify.certiport.com

Internet of Things (Ethical Byte)

Developed an automated door lock system using facial recognition, exploring IoT applications in security and automation.
Certificate complete id: IOT2022090267
Certification url: ethicalbyte.in/verify.php

Tech Mahindra

Gained expertise in machine learning and data visualization, applying knowledge through hands-on real-time projects to understand the practical significance of data science in solving complex business problems.

Machine Learning Bootcamp 2022

Received an introduction to machine learning concepts, algorithms, and practical applications, building a foundation for future ML projects.