Krishna C Email and Phone Number
• 6+ Years of Experience with a strong background in data modeling, database development, and data analysis.• Experience with Prompting, finetuning, evaluating LLMs• experience in database development, including stored procedures, functions, and other database objects, ensuring data integrity and efficient data processing.• Designed, implemented, and maintained CI/CD pipelines for various software projects, ensuring smooth and automated build, test, and deployment processes.• Expert in writing complex SQL queries and optimizing them to extract valuable insights from the data.• Familiarity with AWS, Microsoft Azure, GCP and their services for implementing data pipelines and conducting customer analytics and predictions.• Deployed machine learning models into production on GCP, Azure and set up monitoring to ensure model performance and accuracy over time.• Experience in applying Gen AI techniques to enhance model performance and generate actionable insights.• worked on MySQL, noSQL, graphQl• Skilled in using Business Objects, MS Excel Reports, MS Access Reports, and Tableau reports for visualizing data trends and variations.• Experience in retail, ecommerce, Telecommunications, health domains • Exposure to AI and deep learning platforms/methodologies such as TensorFlow, RNN, and LSTM. • Proficient in data visualization techniques using tools like Data Studio, Tableau, Power BI and QlikView to present data insights in graphs and charts.• Experience in implementing various machine learning algorithms, including regression, clustering, random forest, and support vector machines.• Strong programming skills in Python, utilizing libraries like Pandas, SciPy, Matplotlib, OpenCV, Tensorflow for data manipulation and analysis.• Familiarity using HPCs, GPUs• Familiarity with NLP, NLTK, and Text Mining techniques for extracting meaningful information from unstructured text data.• Skilled in ensuring data quality, performing anomaly detection, and estimation using numerical optimization and statistical methods.
Invences Inc.
View- Website:
- invences.com
- Employees:
- 28
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Machine Learning EngineerInvences Inc. Aug 2023 - PresentDallas, Texas, United States• Utilized collaborative filtering, content-based filtering, and matrix factorization techniques to create a hybrid personalized recommendation system. • Used K-fold cross Validation technique to improve model performance and to test the model on the sample data before finalizing the model.• Used NLTK and Text blob libraries with python to perform sentiment analysis for customer data and Gen AI algorithms are employed to analyze the integrated data and generate actionable insights.• Worked with public/private Cloud Computing technologies (IaaS, PaaS &SaaS) and Microsoft Azure and worked for customer analytics and predictions.• Used Power BI and Tableau for Business Intelligence tool for visually analyzing the data and to shows the trends, variations, and density of the data in form of graphs and charts.• Built and maintained SQL scripts, indexes, and complex queries for data analysis and extraction.• Created and executed complex SQL statements in both SQL production and development environments.• Used scikit-learn, Pandas, and the stats models Python libraries to build predictive forecasting for time series analysis.•Developed a chatbot powered by Open AI’s GPT-3.5 (LLM type) to handle customer inquiries in online retail setting and created a generative AI model that generates compelling product descriptions based on existing product details and attributes. Extended the chatbot capabilities to provide personalized product recommendations.• Formulated procedures for integration of python, R programming with data sources and delivery systems.• Used query languages such as SQL and experience with NoSQL databases, such as MongoDB, GrapghDB.• Worked with both unstructured/structured data Machine Learning Algorithms such as Linear, Logistic, Decision Tress, Random Forests, Support Vector Machines, Neural Networks, KNN, and Time series analysis.• Automated model selection and hyper parameter tuning using Azure autoML
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Graduate ResearcherUniversity Of North Texas Jan 2022 - May 2023• Led machine learning research projects focusing on AI-driven solutions for large-scale data processing.• Conducted advanced machine learning research, focusing on the application of transformer architectures in natural language processing tasks.• Deployed a range of Machine Learning algorithms, including Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN, K-Means, Random Forest, and Gradient Boost & Adaboost, to extract actionable insights from complex datasets.• Regularly reviewed and studied research papers on Large Language Models (LLMs) and fine-tuning techniques to stay current with the latest advancements and apply them to academic projects.• Collaborated with departments to create Python-based data pipelines, ensuring data accuracy and real-time data availability. Mentored undergraduate students on machine learning techniques and Python programming.• Developed models to analyze complex datasets, improving efficiency in research workflows. -
Python DeveloperSyoft Apr 2018 - Jul 2021Hyderabad, Telangana, India• Integrated new tools and developed technology frameworks/prototypes to accelerate the data integration process and empower the deployment of predictive analytics by developing Spark Scala modules with R.• Developed and implemented Predictive analysis using R studio for Management and Business users for decisions making process.• Wrote several Teradata SQL Queries using Teradata SQL Assistant for Ad Hoc Data Pull request.• Developed Python programs for manipulating the data reading from various Teradata and convert them as one CSV Files.• Analyzed market data, competitor offerings, and emerging trends to predict shifts in category demand. Used insights to inform assortment decisions and marketing strategies.• Worked on creating filters, parameters and calculated sets for preparing dashboards and worksheets.• Architected custom solutions for data visualization using tools like tableau, Packages in Python, R and R-Shiny.• Implemented data refreshes Server for biweekly and monthly increments based on business change to ensure that the views and dashboards were displaying the changed data accurately.• Worked on SQL and Data frames for faster execution of Hive queries using Spark Sql Context.• Designed and developed ETL processes for dimension and fact file creation.• Responsible for business case analysis, requirements gathering use case documentation, prioritization and product/portfolio strategic roadmap planning, high level design and data model.• Responsible for the end to end solutions delivery, including sprint planning and execution, change management, project management, operations management, and UAT.• Primary liaison between customer and engineering groups; served as the key unifying force for all BI platform activities that enables better communication across teams, proactively identifies gaps, and ensure the successful delivery of capabilities.
Frequently Asked Questions about Krishna C
What company does Krishna C work for?
Krishna C works for Invences Inc.
What is Krishna C's role at the current company?
Krishna C's current role is Actively looking for Data Scientist / ML engineer roles | Machine Learning | Deep Learning | Data Mining| Data Analysis| Big data| Visualizing| Data Modelling| Microsoft SQL| Tableau| Power BI| Gen AI|.
Who are Krishna C's colleagues?
Krishna C's colleagues are Monica T, Brahmi V, Faiz Khan, Nagarjuna Y, Sumanth _, Navya Recruiter, Sravan Kumar.
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