Results-driven and versatile professional with over 4 years of experience as a Machine Learning Engineer and Business Intelligence Engineer.
Aktualisiert am 04.10.2023
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 04.10.2023
Verfügbar zu: 100%
davon vor Ort: 50%
Machine Learning
Data Scientist
Business Intelligence
Generative AI
Python
SQL
Azure
AWS
Deep Learning
POWERBI
Amazon QuickSight
MS Excel
Pandas
Sci-kit learn
JavaScript
HTML
Flask
Natural Language Processing
English
Verhandlungssicher
Telugu
Muttersprache

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

1 year 4 months
2022-06 - 2023-09

Course Recommendation and Generation using GPT3

Machine Learning Engineer
Machine Learning Engineer
  • Developed a GPT-3.5 based Course Recommendation and Generation system for personalized learning, offering four combinations based on user preferences.
  • Implemented a user-friendly webpage for the 'Generation' mode using HTML, JavaScript, hosted via Flask
  • Created an efficient chatbot for the 'Curation' mode using Azure Open AI Service, facilitating users to find curated learning resources


Automated Response Generation Model using GPT3

  • Built a scalable automated response generation system for RFP queries on Azure MLS using GPT models, incorporating ada embeddings for semantically meaningful user queries
  • Leveraged the Davinci model to automate response generation, enhancing system reliability
  • Created an intuitive web interface with options for individual/bulk queries and response
  • regeneration, integrating backend processing with frontend using Flask for efficient functionality


Outlier detection of business units based on revenue data

  • Implemented outlier detection methodology for anomaly identification within business units, based on actual and budgeted revenue
  • Performed comprehensive data analysis, cleansing, and transformation, utilizing the IQR approach for robust statistical outlier identification
  • Integrated the IQR logic with the Qlik dashboard via a server-side script for enhanced data visualization and analysis
Cognizant
India 
2 years 9 months
2019-10 - 2022-06

Implemented a polarity-based sentiment analysis

Machine Learning Engineer / Business Intelligence Engineer
Machine Learning Engineer / Business Intelligence Engineer
Sentiment Analysis using Transformers
  • Implemented a polarity-based sentiment analysis using BERT to predict sentiment and provide confidence levels.
  • Developed an intuitive front-end webpage with HTML and JavaScript, featuring a dynamic word cloud for visualizing frequent sentiment terms, integrated with the sentiment analysis model via Flask
  • Successfully deployed the entire project on Azure MLS for efficient hosting and scalability, ensuring capacity for increased demand


End-to-End Data Integration and Analytics Solution Implementation

  • Orchestrated the integration of diverse data sources, including RDS databases and marketing platforms, enabling efficient data collection for analysis and reporting purposes
  • Designed and implemented a robust data architecture utilizing Snowflake as the central data warehouse
  • Ensured scalability, security, and optimized performance for data processing and analytics
  • Employed DBT (Data Build Tool) to develop and maintain data transformation pipelines. Streamlined the data processing workflow, enhanced data quality, and improved overall data management
  • Created impactful reports and interactive dashboards using QuickSight, providing stakeholders with actionable insights


Trainee

  • Participated in 5-month-long Python training and helped deliver a project along with 3+ team members
  • Worked on in-house development projects in Python & SQL
  • Rewarded with the ?Top Performer Award? for scoring 89% in the training
Infosys
India

Aus- und Weiterbildung

3 years 11 months
2015-07 - 2019-05

Computer Science

Bachelor, JNTU Anantapur - India
Bachelor
JNTU Anantapur - India
  • Data Structures
  • Database management systems
  • AI
  • Machine Learning
  • Python
  • Probability

Kompetenzen

Top-Skills

Machine Learning Data Scientist Business Intelligence Generative AI Python SQL Azure AWS Deep Learning POWERBI Amazon QuickSight MS Excel Pandas Sci-kit learn JavaScript HTML Flask Natural Language Processing

Produkte / Standards / Erfahrungen / Methoden

Profile:

Results-driven and versatile professional with over 4 years of experience as a Machine Learning Engineer and Business Intelligence Engineer. Possess a strong background in Computer Science and a proven track record of leveraging machine learning techniques and data-driven insights to drive business growth and optimize operations.


Technical Skills:

Machine Learning 

  • NumPy
  • Pandas
  • SciKit-Learn
  • Matplotlib
  • Seaborn
  • OpenCV
  • NLP


Deep Learning 

  • Keras
  • MLP
  • CNN
  • RNN
  • LSTM
  • GAN
  • BERT
  • YOLO


Data Analysis Tools

  • Power BI
  • QuickSight
  • Advanced MS Excel


Platforms/Tools/Frameworks

  • Git
  • Flask
  • Heroku
  • Jupyter Notebook


Cloud Platforms

  • Azure MLS
  • AWS S3
  • Redshift

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