Krishna Kanth Vinjamuri
Data Scientist | Python Developer | Machine Learning Expert | Data Analyst
Bengaluru
Summary
Experienced Data Scientist and Python Backend Developer with over 7 years of proven experience in building robust applications, developing predictive models, and providing data-driven insights. Proficient in Python, Django, SQL, and advanced machine learning techniques, with a strong emphasis on backend development and data processing. Recognized for delivering scalable solutions that drive business success and streamline processes through the application of data science, machine learning, and backend engineering.
Overview
7
7
years of professional experience
2
2
Certifications
Work History
Data Scientist
Ambertag Analytics Pvt Ltd
12.2021 - Current
- Utilized MongoDB for efficient data retrieval and applied Large Language Models (LLMs) to extract and analyze key attributes.
- Designed and implemented the entire workflow within the Django framework, ensuring robust, scalable, and maintainable application development.
- Employed Docker Hub, Docker images, GitHub, CLI, and CI/CD pipelines to automate deployment and streamline the development process.
- Processed images using advanced Object Detection Models and stored outputs in SQL and AWS S3 as JSON data for seamless integration with data analytics pipelines.
- Mapped products to thematic categories based on specific criteria, then dynamically reflected these products on month-specific templates, enhancing personalized customer experiences.
- Deployed computer vision pipelines using Dash, Partly, and Streamlit, integrating machine learning algorithms to predict product visibility, most-viewed and most-ordered products, as well as cart metrics.
- Applied clustering algorithms to categorize products based on sales performance, leading to improved sales conversion rates in retail shops.
- Leveraged parallel processing to optimize data handling and improve processing efficiency across large datasets.
Senior Data Analyst
Trigent Pvt Ltd, Accenture, Bengaluru
06.2021 - 11.2021
- Actively participated in daily standup meetings to discuss progress, roadblocks, and project updates in an Agile environment.
- Analyzed and processed over 100,000 rows of client data in multiple batches, ensuring data integrity and consistency across the pipeline.
- Optimized and pre-processed raw data by handling missing values, outliers, and scaling features, preparing it for accurate model development.
- Performed feature engineering on a dataset with 136 columns using Python libraries such as NumPy, Pandas, and Seaborn to enhance model performance.
- Segmented the data through clustering techniques, employing K-Means algorithms to uncover underlying patterns and improve analysis precision.
- Built and trained predictive models using Linear Regression and Logistic Regression, addressing classification tasks effectively.
- Evaluated model performance by analyzing Confusion Matrix results and measuring accuracy using AUC Score to ensure robust and reliable predictions.
Data Analyst
Phygital Insights, Bangalore
10.2017 - 05.2020
- Performed RFM analysis to rank customers based on RFM score into several segments based on business input
- Created an interactive dashboard (Tree Maps) to represent output segments from the RFM for business understanding using Tableau.
Education
B.Tech in Computer Science -
Pragati Engineering College
Kakinada 06.2010 - 2014.05
Post-Graduation Diploma in Management in Operations and Marketing -
Nitte School of Management, AICTE - Autonomous
Bengaluru 06.2015 - 2017.05
Skills
- Programming Languages:
- Python
- SQL
- R
- Database Systems:
- MySQL
- MongoDB,
- PostgreSQL
- Data Science Tools:
- Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch
- Backend Development:
- Django, Flask
- Big Data Technologies:
- PySpark, AWS (S3, EC2)
- Data Visualization:
- Tableau, Matplotlib, Seaborn
- Machine Learning & AI:
- Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Naive Bayes, SVM
- Unsupervised Learning: K-Means Clustering, Hierarchical Clustering
- Deep Learning: Feedforward Neural Networks, CNN, RNN
- NLP: Text Classification, Sentiment Analysis, Topic Modeling
- Large Language Models (LLMs): GPT, BERT, Transformer-based models, Text Generation, Fine-tuning for specific tasks
- Object Detection: YOLO, Faster-RCNN
- DevOps & Containerization:
- Docker, GitHub, CI/CD Pipelines
Statistics Concepts:
- Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)
- Inferential Statistics (Hypothesis Testing, Confidence Intervals, p-values)
- Probability Distributions (Normal, Binomial, Poisson)
- Statistical Modeling (ANOVA, Correlation, Regression Analysis)
Certification
Business Analyst Certification
Timeline
Data Scientist
Ambertag Analytics Pvt Ltd
12.2021 - Current
Senior Data Analyst
Trigent Pvt Ltd, Accenture, Bengaluru
06.2021 - 11.2021
Data Analyst
Phygital Insights, Bangalore
10.2017 - 05.2020
Post-Graduation Diploma in Management in Operations and Marketing -
Nitte School of Management, AICTE - Autonomous
06.2015 - 2017.05
B.Tech in Computer Science -
Pragati Engineering College
06.2010 - 2014.05
Business Analyst Certification
Six Sigma
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