Vivek Neekhra
Gadarwara,Madhya Pradesh
Summary
With around three years of experience working as a data scientist and more than ten years of strong academic background, strive to bring high-quality business intelligence solutions to businesses seeking higher efficiency. With expertise in advanced Statistical Algorithms, Python, Machine Learning and
forecasting, and have also worked on over 1150 high performance parallel processing applications using MySQL.
Overview
2
2
years of professional experience
Work History
Data Scientist
Examroom.AI
07.2024 - Current
- Automated Text Classification System: Developed an NLP-based system using Python to classify text documents into predefined categories with an accuracy of over 90%
- Implemented advanced techniques such as TF-IDF vectorization and neural network models to enhance text analysis and classification
- Facial Recognition and Emotion Detection: Designed and implemented facial recognition and emotion detection system using OpenCV and Python
- Integrated deep learning models, such as CNNs, to accurately detect and classify emotions from real-time video streams, achieving a precision rate of 95%
- Palm verification - through yolov8 model by using Resnet-50 CNN model: Designed and implemented high-accuracy palm verification system leveraging strengths of YOLOv8 and ResNet-50
- It is capable of reliably identifying individuals based on palm patterns, making it suitable for secure authentication and access control applications
- Employ ResNet-50 model to extract and analyze features from detected palm regions
- ResNet-50's deep residual learning structure facilitates effective feature extraction, enhancing model's ability to distinguish between different individuals based on their palm characteristics
- Convert extracted palm features into embeddings using ResNet-50
- These embeddings represent unique characteristics of each palm
- Compare embeddings of input palm image with stored embeddings in database to verify identity
- Implemented similarity measure to determine if palm features match stored records.
Data Scientist
Kubex Computer Software Solutions Pvt Ltd
04.2022 - 07.2024
- Contributing to data-driven decision-making processes across multiple departments
- Responsible for gathering, cleaning, and analyzing large datasets using Python, SQL
- And advanced statistical methods
- Implemented natural language processing techniques to analyze customer feedback, resulting in actionable insights that improved product features and customer satisfaction scores by 20%
- Proficient in Python for data analysis (NumPy, Pandas), machine learning (scikit-learn, TensorFlow), and data visualization (Matplotlib, Seaborn)
- Recognized for exceptional performance with two consecutive "Employee of the Quarter" awards for contributions to revenue growth and process efficiency improvements Personal Projects
Education
Bachelor of Engineering - IT - Engineering
Oriental Institute of Science And Technology
Bhopal07.2020
Data Science Bootcamp Program -
Odin School
Hyderabad05.2020
Skills
- Python Programming MySQL
- Power Bi
- Machine Learning Pandas
- Natural Language Processing
- Statistical Analysis SQL Databases Data Visualization
Personal Project
Credit Card Fraud Detection - Machine Learning with Python
This project aimed to develop a machine learning model for accurate detection of credit card fraud. Utilizing Python libraries like Pandas and NumPy, we cleaned and engineered features from transaction data. Supervised learning algorithms including Logistic
Regression, Random Forest, and Gradient Boosting were implemented, achieving high precision (95%) and recall (90%). Evaluation metrics such as F1-score and AUC-ROC were used for model assessment. The model processed transaction details like amount and type to distinguish between legitimate and fraudulent transactions, ensuring minimal false positives
The OTP Verifier project was developed using Python to enhance security through
onetime password validation. Python libraries like Flask facilitated rapid API development for OTP generation and verification. The project ensured secure transmission and validation of OTPs via SMS or email, integrating with third-party APIs for messaging
services. Data encryption techniques were employed to safeguard sensitive information during transmission. The system provided seamless user verification for applications requiring heightened security measures, such as online banking or two-factor
authentication (2FA). Future iterations aim to expand compatibility with additional communication channels and enhance scalability for broader application deployment.
Developed in Python, a machine learning model predicts laptop prices using
specifications, brand, and market trends. Employed data preprocessing for dataset cleaning. Machine learning algorithms like regression and ensembles built the model, fine- tuned for accuracy. Thorough evaluation ensured optimal performance. Showcasing Python proficiency, data analysis, and machine learning skills, this project applies pricing prediction in real-world scenarios.
Leveraged Python programming along with the powerful data manipulation libraries
NumPy and Pandas to perform comprehensive analysis on retail sales data. Conducted data cleaning, preprocessing, and exploratory data analysis to gain insights into sales trends, customer behavior, and product performance. Utilized advanced statistical
techniques and visualization tools to uncover patterns and correlations within the dataset. Implemented predictive models to forecast sales and optimize inventory management strategies. This project showcases proficiency in Python programming, data analysis, and utilization of key libraries for extracting actionable insights in the retail domain.
Timeline
Data Scientist
Examroom.AI
07.2024 - Current
Data Scientist
Kubex Computer Software Solutions Pvt Ltd
04.2022 - 07.2024
Bachelor of Engineering - IT - Engineering
Oriental Institute of Science And Technology
Data Science Bootcamp Program -
Odin School
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