I am a Data Professional with an MSc in Data Science and over three years of experience in data engineering. My expertise lies in developing robust data ecosystems that enable advanced analytics and machine learning at scale. I specialize in optimizing data quality and deploying models using tools like PyTorch and scikit-learn. I combine technical skills in distributed data technologies with a strong foundation in statistical modeling, facilitating effective communication of complex technical concepts to stakeholders. If you need a strategic thinker who can solve intricate data challenges and drive actionable insights, let’s connect. I look forward to discussing how I can contribute to your projects.

I am a Data Analyst and SQL Developer with experience in working with data extraction, transformation, and reporting solutions. I specialize in SQL, ETL processes, and building clean, structured datasets that help businesses make better decisions. I have hands-on experience in data analysis, working with large datasets, writing complex SQL queries, and creating efficient data pipelines. I also work with Excel and Power BI for reporting and visualization. My focus is to deliver accurate, clean, and meaningful data solutions that help clients save time and improve decision-making. Skills I offer: * SQL (queries, joins, optimization, stored procedures) * ETL development and data cleaning * Data analysis and reporting * Excel data processing and automation * Power BI dashboards and visualization * Azure fundamentals for data workflows I am committed to delivering high-quality work on time and ensuring client satisfaction. I am open to both short-term tasks and long-term projects.

I'm Bhavan Vinjam, a versatile Software Developer with a strong foundation in both front-end and back-end technologies. With advanced degrees in Public Administration and Psychology, and a Bachelor’s in Information Studies with a focus on Health Informatics, I blend analytical skills with technical expertise to deliver robust web solutions. As a current Doctoral student in Systems Science within Thomas J. Watson College of Engineering and applied science, I am eager to contribute my expertise, skills, and passion for learning to support the university and its various intricacies. I hope to provide a diverse approach and skill set that aligns with the needs of this role. A little dive into my background, I am an innovative data professional with expertise in engineering and analyzing complex datasets to drive strategic decision-making. I am proficient in Python, SQL, and Tableau as well as Power BI among other tools that deliver actionable insights that enhance operational efficiency and forecast accuracy. Additionally, skilled in implementing ETL processes and managing data pipelines using big data tools like Hadoop and Spark, achieving substantial improvements in data processing capabilities. Demonstrated success in collaborating with cross-functional teams for system upgrades and project implementations, fostering a culture of continuous improvement. A proactive problem-solver with a proven record in predictive modeling and machine learning, employing advanced algorithms to extract insights and enhance decision-making processes, leading to a remarkable 95% efficiency rate. My technical toolkit includes HTML5, CSS, JavaScript, Bootstrap, and Node.js for creating dynamic and responsive user interfaces. On the back end, I leverage languages such as Python, Java, and C# with frameworks and libraries like node.js and .NET to build scalable applications. My experience extends to integrating databases (SQL Server, MySQL, MongoDB) and utilizing cloud platforms (AWS, Azure) to enhance application performance and reliability.

Senior developer specialized in maintaining and improving existing applications, especially Laravel-based systems and complex legacy environments. If your system is hard to manage, full of bugs, or your previous developer is no longer available, I can help you stabilize it and move forward without starting from scratch. I have a strong background in enterprise systems (banking, CRM, data platforms) and I currently work with modern technologies such as Laravel, Vue and backend integrations. I’m used to working with complex codebases, understanding how things really work, and making them more stable, maintainable and reliable. What I usually do: - Fix issues and stabilize applications - Maintain and evolve existing systems - Take over projects and continue development - Improve backend logic and API integrations I communicate clearly, work independently and focus on getting things done.

Offering 20+ years of practical experience in Linux System Administration, working with software development teams, and working with startups, medium and large businesses. Education: B.Sc. from UBC in Computer Science Languages: English, French, Russian Technology skills: Linux command-line, cPanel/WHM, Plesk, Apache, nginx, Squid; MySQL, bind, FTP, Exim, sendmail, iptables, NFS, bash scripting, php, memcached, KVM, VMWare, Nagios, Zabbix, WordPress, Joomla, AWS. Linux System Administration: Redhat, Ubuntu, Gentoo * Installation/configuration/optimization, monitoring, Installing/Updating software * Backup, DDoS protection, Security Highlighted Experiences: I have directly managed 300+ servers. Worked as a team to manage network of thousands of servers.

As a Java and Big Data Developer with 14 years of experience, I specialize in designing and implementing robust data pipelines and transformations. With extensive experience in Java and competencies in Databricks and REST APIs, I have contributed to the development of Spark applications that optimize data movement and transformation within big data ecosystems. My focus is on leveraging AWS Cloud and advanced data engineering techniques to deliver scalable and efficient solutions. Over the last 5 years, I have focused on the Big Data landscape, specifically leveraging Apache Spark (Java/Python) and Databricks to build robust data shipment pipelines. I am proficient in orchestrating complex workflows using Airflow and optimizing data storage within HDFS and Hive. Core Technical Stack: Languages: Java, Python, Scala, SQL Big Data Ecosystems: Spark, Databricks, Airflow, Hive, HDFS, Hue, PySpark, Dremio, Kafka, Flink Frameworks: Spring Core/Boot/Data/Web/Cloud, Hibernate, Kafka, Microservices architecture Devlopment Models: Agile, SDLC (Waterfall) Web/Application Servers: Apache Tomcat, Jetty, WebLogic Database: SQL Server, Oracle, MySQL Operating Systems: Windows, Unix DevOps: Jenkins (CI/CD), Maven, Docker, Kubernetes, Agile/SDLC.

Supritha Konaje – Backend AI Software Engineer I help businesses turn data into actionable insights and intelligent products. With over four years of experience in AI/ML, data engineering, and cloud-based systems, I build scalable, high-performance pipelines, recommendation engines, and ML-driven applications. What I bring to your project: Machine Learning & AI: LLM-powered recommendation systems, predictive analytics, and generative AI solutions. Data Engineering: Scalable ETL pipelines, data lakes, and distributed systems on AWS, Azure, and GCP. Backend & Cloud Integration: Reliable production-ready services with Python, Scala, Spark, and containerized deployments. Collaboration & Delivery: Mentoring, cross-team collaboration, and translating complex requirements into actionable solutions. I thrive on challenging projects where I can combine technical expertise with creativity to deliver data-driven, intelligent solutions that drive real impact.

Hello! I'm a Senior Machine Learning Engineer with over 10 years of experience in the field of Artificial Intelligence. I specialize in designing and implementing machine learning models, data mining, and statistical analysis. My expertise includes: - Proficiency in Python, R, and SQL. - Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras. - Deep understanding of Machine Learning algorithms, including Neural Networks, Decision Trees, SVM, and Bayesian models. - Experience with Natural Language Processing (NLP) and Computer Vision. - Strong knowledge of mathematics, statistics, and algorithms. - Experience with big data technologies like Hadoop and Spark. - Excellent problem-solving skills and ability to work in a team. I have successfully completed numerous projects involving predictive modeling, anomaly detection, recommendation systems, and image recognition. I'm always eager to take on challenging projects and find efficient and effective solutions. I believe in constant learning and staying updated with the latest trends in AI and Machine Learning. I'm looking forward to bringing my skills and expertise to your project and delivering high-quality results. Thank you for considering my profile. I'm excited to collaborate with you!

Data Engineer with experience in Python, SQL, and ETL pipeline development. I specialize in building data pipelines, automating workflows, and designing data warehouse solutions for analytics and reporting. I have worked on projects involving API data extraction, data transformation, data modeling, and workflow orchestration using Airflow. I am comfortable working with relational databases and cloud data platforms. Skills: Python, SQL, ETL/ELT, Data Pipelines, Apache Airflow, Data Modeling, PostgreSQL, BigQuery, Snowflake, AWS, Docker, Git. I focus on building reliable, scalable, and maintainable data systems that transform raw data into useful information for business decisions.

I am a seasoned ETL Engineer with over 8 years of experience specializing in building and optimizing large-scale Ab Initio ETL pipelines and data warehouse solutions, particularly within the Banking and Insurance sectors. My expertise encompasses not only Ab Initio but also SQL and Unix, which allows me to develop efficient data workflows while ensuring high data quality and reliability. I excel in performance tuning and have a solid record of managing SLA-driven batch and continuous processing. My focus on scalability and efficiency helps organizations improve their data processing capabilities significantly. If you're looking to enhance your data infrastructure and achieve outstanding results, let's connect and discuss how I can contribute to your project.