An experienced Software Engineer transitioning into Data Science, blending expertise in Python, AI/ML, and web development to deliver innovative, data-driven solutions for business growth.
Versatile Software and Data Professional with 8+ years of experience, including 4.2+ years in full-time development and 4+ years in freelancing. Expertise spans Python, Django, SQL, RESTful APIs, .NET technologies, and embedded systems. Proven success in leading agile projects, optimizing web applications, and building end-to-end solutions across insurance, electronics, and retail domains. Recently certified in Data Science by IBM and executed freelance projects in machine learning, data visualization, and web-based e-commerce systems. Adept at translating business requirements into actionable insights and scalable applications. Seeking challenging opportunities in Data Science, Python Development, or ML Engineering with immediate availability.
Experienced Software Developer | Aspiring Data Scientist | Skilled in Python, SQL, ASP.NET, and Machine Learning
Full-stack developer skilled in Python, ML, .NET, SQL, and data-driven decision-making expertise.
Mastered Python, SQL, data analysis, visualization, machine learning, and hands-on projects, equipping for impactful contributions in data science roles.
Developed a dynamic e-commerce website using Django, featuring product management, user authentication, secure payments, and responsive UI.
Developed an Instagram clone using HTML and CSS, replicating basic UI elements and responsive design for seamless user experience.
Learned data visualization techniques using Python libraries like Matplotlib and Seaborn to create insightful, interactive, and informative charts
Learned data analysis techniques using Python, including data manipulation, visualization, and statistical analysis with libraries like Pandas and Matplotlib
Learned machine learning concepts, algorithms, and Python techniques for data analysis, predictive modeling, and building machine learning solutions
Python
Data Science and Machine Learning
Web Development (ASP.NET, Django, Front-End)
Project Management & Team Leadership
SQL & Data Analytics
Engineered scalable solutions, led teams, and delivered impactful software across full-stack and data-driven projects.
As a dedicated Freelancer with 4+ years of experience, I have delivered full-cycle solutions across web development, desktop applications, and data analytics. Skilled in Python, Django, C#, and SQL, I have built robust .NET web apps, billing systems, and machine learning models that enhance performance, user experience, and business insight.
I specialize in integrating data-driven approaches with scalable backend architecture, using tools like Pandas, NumPy, scikit-learn, and Power BI. With a strong focus on clean code, debugging, and client satisfaction, I’ve consistently delivered value-driven solutions. IBM-certified in Data Science, I bring a hybrid skillset ideal for dynamic, impact-focused roles.
At Novac Technology Solutions, served as a Senior Software Engineer driving .NET web development, debugging, and unit testing across Agile and Kanban teams. Led website maintenance and performance enhancements for insurance projects, improving operational efficiency and documentation by 15%. Recognized for consistently delivering quality outcomes within tight deadlines and project goals.
Collaborated closely with cross-functional teams to re-engineer legacy systems, streamline workflows, and ensure scalable, secure application deployment. Provided technical leadership in troubleshooting and development, aligning solutions with client expectations. Demonstrated a strong focus on code optimization and proactive problem-solving, earning awards for outstanding team contribution and project impact.
At Brevera Technologies, I contributed as a Software Engineer, specializing in embedded system development for voltage stabilizers and automation tools. I managed end-to-end embedded C programming, troubleshooting, and firmware integration using protocols like SPI, UART, and RS232. I led a 9-member team, ensuring effective coordination, testing, and customer support.
My work emphasized hardware-software interfacing and quality assurance, including designing test jigs, circuit calibration, and debugging production issues. I also developed database tools using Python and MySQL, enhancing data accessibility and cloud backups. These experiences built my foundation in system-level programming, cross-functional collaboration, and real-time embedded application development.
Innovative web applications, real-time tracking systems, data analytics dashboards, voltage stabilizer enhancements, and machine learning-driven stock analysis projects.
This project focuses on utilizing Machine Learning algorithms to analyze stock market data using Python. It employs various data science techniques, including data preprocessing, feature engineering, and model training, to predict stock prices. The main goal is to extract valuable insights that can guide informed investment decisions, enhancing the ability to navigate the complexities of financial markets.
To build and train the predictive models, the project relies on essential libraries such as Pandas, NumPy, and Scikit-Learn. These libraries are integral to data manipulation, cleaning, and model development. By leveraging these tools, the project aims to deliver actionable insights into stock market trends, providing a foundation for individuals to make data-driven decisions and formulate effective investment strategies.
As Senior Software Engineer at Novac Technology Solutions, leadership was provided in developing a real-time application tracking system. This web-based application allowed for efficient monitoring and reporting of software performance, providing real-time insights into application usage. The system was designed to track key performance indicators and deliver actionable data for decision-making, ensuring a streamlined approach to application management.
.NET technologies were leveraged to integrate real-time updates, improving system responsiveness and enhancing user experience. The architecture was designed with scalability in mind, enabling it to support large-scale, enterprise-level deployments. This ensured that the system could handle increasing demands while maintaining optimal performance, making it suitable for organizations with complex operational needs.
In the Web Development Projects (ASP.NET) initiative, extensive use of ASP.NET was made to build dynamic and responsive web applications. A team of developers was led, with a focus on delivering web solutions that included secure login systems, data processing capabilities, and user interaction modules. These solutions aimed to enhance user experience while ensuring security and efficiency across the platform.
This project provided significant growth in both front-end and back-end development skills. Leadership abilities were further honed while overseeing the development process, ensuring that all components integrated smoothly and functioned seamlessly. The experience helped refine expertise in creating well-rounded web solutions, which balanced technical performance with user-centric design, allowing the project to meet business objectives and exceed user expectations.
Data analytics played a crucial role in software development projects, with an emphasis on creating dashboards that tracked key metrics and KPIs for business insights. By using Python and SQL, data visualization techniques were implemented to transform raw data into meaningful information, helping stakeholders make data-driven decisions based on real-time analysis.
This initiative sharpened the ability to merge technical expertise with business intelligence, enhancing the capacity to present complex data in a clear, actionable manner. It also provided valuable insights into how data-driven strategies can support effective decision-making and contribute to achieving organizational goals. The project not only strengthened technical skills but also reinforced the importance of using data to inform strategic actions.
At Brevera Technologies, significant contributions were made to the development of innovative solutions for voltage stabilizers. In this role, support was provided in both production operations and project management, ensuring that design enhancements were closely aligned with customer requirements and industry standards. Efforts were focused on improving the overall efficiency of voltage stabilizers, making them more reliable and effective in meeting the needs of end users.
The project aimed to enhance product performance, resulting in better reliability and customer satisfaction. By leveraging technical expertise, practical applications were seamlessly integrated into the design process, ensuring that solutions not only met market demands but also exceeded customer expectations. This experience highlighted the importance of aligning product innovations with real-world needs, ultimately contributing to the success of the product and the company.
A dynamic portfolio showcasing expertise in software development, web solutions, data analytics, machine learning, and leadership in technical projects.
Recognized achievements and validated skills earned through formal training, professional accomplishments, or specialized assessments in various fields.
IBM Data Science is a comprehensive program offering skills in data analysis, machine learning, and visualization
Leveraging ChatGPT and AI tools to enhance productivity and streamline tasks within MS Office applications
Developed an Instagram clone using HTML and CSS to replicate core layout and design features
Leveraging data visualization, analysis, and reporting skills to drive insights
You can contact me for professional inquiries and collaborations using the details below
