Namaste!!👋Vikas Here
I’m a multi-cloud expert with extensive experience across AWS, GCP, and Azure. With a versatile background as a Data Scientist, ETL Developer, Generative AI Engineer, Data Analyst, Data Engineer, and Project Manager, I specialize in creating robust data solutions that drive business intelligence and innovation.
From building scalable data pipelines to harnessing the power of generative AI for insightful analytics, I excel at transforming complex datasets into actionable insights.
Let’s collaborate to unlock the potential of your data, delivering solutions that not only meet your business goals but also inspire growth and innovation.
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Your Data, My Expertise
Explore my diverse experience in engineering, analytics, and AI, transforming complex data into clear, actionable insights.
Data Engineering
Projects showcasing my data engineering expertise in building scalable pipelines and optimizing data workflows.
Gen AI Engineer
Innovative AI solutions developed using cutting-edge models and technology to enhance user experiences.
As a Data Engineer, I’ve had the opportunity to build and optimize scalable data pipelines across various cloud platforms, including AWS, GCP, and Azure. I’ve worked extensively with tools like Cloud Functions, Document AI, and Vertex AI, creating seamless data ingestion pipelines that enhance data processing efficiency. During my time at Infosys, I optimized storage and retrieval strategies, reducing processing times by 35%. I also enjoy mentoring junior engineers and improving team workflows, having built reusable Spark SQL functions that increased productivity.
Tools/Technologies: GCP (Cloud Functions, Vertex AI, AlloyDB), AWS (Lambda, Glue, EMR), Azure (ADLS, Blob, Delta Lake), Spark SQL, Python, Turbine ETL, Postman, Azure DevOps
As a Generative AI Engineer, I’ve explored the cutting edge of AI technologies like GPT and Gemini AI to create dynamic, AI-driven solutions. One of my favorite projects involved building a responsive AI chat interface using GCP services like Vertex AI and Document AI. I trained models to generate real-time, engaging responses that enhance user interactions. Working in generative AI allows me to blend creativity with technology, and I love pushing the boundaries of what AI can do to solve problems and improve user experiences.
Tools/Technologies: GCP (Vertex AI, Document AI), GPT, Gemini AI, Llama, Langchain
Data Analyst
Examples of how I turn raw data into actionable insights through advanced analytics and visualization.
In my work as a Data Analyst, I’ve always focused on turning raw data into meaningful insights. Whether it’s using BigQuery for analysis or creating visualizations with Tableau and Power BI, I strive to make data-driven decisions accessible for everyone. I’ve analyzed a range of topics, from the impact of COVID-19 on layoffs to player performance in the IPL. I also created dashboards that helped leadership teams make informed decisions based on real-time data.
Tools/Technologies: Tableau, Power BI, Python (Pandas, Matplotlib, Seaborn), SQL, BigQuery
Data Scientist
Projects highlighting my use of machine learning and AI to solve complex problems and drive innovation.
As a Data Scientist, I’m passionate about using machine learning to solve real-world problems. I’ve built ML models for predicting used car prices, classifying breast cancer, and even analyzing Amazon reviews using NLP. I love diving into data—cleaning it, finding patterns, and training models to predict outcomes. My work doesn’t stop at building models; I’ve also integrated them into user-friendly apps using Streamlit, making data science accessible to end users.
Tools/Technologies: Python (Pandas, Scikit-learn, TensorFlow, NLTK), Streamlit, Vertex AI, PyTorch, LLMs (GPT, Gemini)
ETL Developer
Experience in designing and implementing efficient ETL processes for seamless data integration.
As an ETL Developer, I’ve worked on transforming raw data into valuable business insights by designing and developing robust ETL pipelines. At Infosys, I pioneered the restructuring of global databases and optimized ETL processes, reducing data processing times by 35%. I’m skilled at integrating diverse data sources, validating data, and ensuring its quality using tools like Azure Data Factory, Databricks, and Turbine ETL. These experiences have enabled me to streamline data flows, transforming how businesses leverage their data for better decision-making.
Tools/Technologies: Turbine ETL tool, Azure Data Factory, Azure Databricks, Spark SQL, Python, Postman, Oracle SQL Developer
Project Manager
Leadership in managing data-driven projects from planning to delivery, ensuring efficiency and success.
In my role as a Project Manager, I’ve successfully led data integration projects, particularly for clients like Procter & Gamble. I managed the onboarding of European markets into our data ecosystem, ensuring seamless data integration. Through effective planning and team collaboration, I improved project efficiency by 15% and reduced response times by 25%. I’m passionate about delivering projects on time and within budget while fostering a culture of continuous improvement and collaboration.
Tools/Technologies: Agile Methodology, Jira, Azure DevOps, CI/CD, SCRUM
"Vikas was always proactive and punctual. During our collaboration, he managed to create new data flows and prepare huge amounts of data for analysis. I've always put a premium on reliability in our team and Vikas never failed to deliver."
Evgeniy Gerasimov
"Vikas consistently takes on the most challenging tasks in each sprint, completing high-point user stories on time. He's an excellent mentor to junior team members and is my go-to person for critical matters. His drive to push himself and support the team is exemplary."
Naveen Gudla
★★★★★
★★★★★
Project Manager at Procter & Gamble
Team Lead at Infosys