About
I'm a recent graduate of Bachelor of Technology (B.Tech) degree in Computer Science Engineering. I completed this degree from Dr. Akhilesh Das Gupta Institute of Technology and Advanced Learning, which is a college affiliated with Guru Gobind Singh Indraprastha University (GGSIPU). My main field of specialization is data science and machine learning. I'm a self-motivated, adaptable, versatile and result-driven individual with an innovative mindset. Besides that, I'm an impeccable team player having strong attention to detail and positive attitude towards challenging problems. In addition, I'm immensely experienced in the domains of data science, machine learning, deep learning, natural language processing and statistics.
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Data Scientist
Hardworking and reliable Data Scientist with a strong educational background in computer science. A vigorous and impeccable team player with a proven track record of working in high-pressure corporate environments and adhering to stern project deadlines. An exemplary data science professional with exceptional problem-solving abilities and excellent communication skills. Committed to helping companies advance by helping them develop strategic plans based on predictive modeling and findings.
- Birthday: 28 Jan 2001
- Phone: +91 9810734544
- City: Delhi
- Country: India
- Age: 22
- Degree: Bachelors of Technology
- Email Address: sayamk565@gmail.com
- Freelance: Available
Skills
- Detail-oriented, thorough, and vigilant to collect all necessary data without missing critical components.
- Knowledge of databases, both relational (e.g., SQL) and NoSQL (e.g., MongoDB), for efficient data storage and retrieval.
- Proficient in Python programming language for implementing machine learning models and data analysis.
- Strong statistical background for interpreting results and making data-driven decisions.
- Proficient in using tools like Matplotlib, Seaborn, or Plotly to create visualizations that communicate complex findings in an understandable way.
- Expertise in assessing model performance using various metrics and validation techniques to ensure robustness.
- Skilled in preparing and cleaning data, as well as feature engineering to enhance model performance.
- Experienced in building and deploying neural network models using popular deep learning frameworks like Tensorflow or PyTorch.
- Enthusiastic and friendly team player who can motivate colleagues and contribute to shared objectives in efforts to accomplish departmental goals.
- Strong understanding and practical experience with a variety of machine learning algorithms, including supervised and unsupervised learning.
- Experienced with version control systems like Git for collaborative development and tracking changes.
- Ability to deploy machine learning models into production environments, ensuring scalability and reliability.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building and deploying machine learning solutions.
- Strong interpersonal and communication skills for collaborating with cross-functional teams and explaining complex concepts to non-technical stakeholders.
- Demonstrated commitment to staying up-to-date with the latest developments in machine learning and related technologies through continuous learning and professional development.
Resume
Projects Portfolio
Services
Data Acquisition
Skilled in various data collection methods like web scraping, surveys, case studies, etc.
Feature Engineering
Proficient in developing feature engineering pipelines by leveraging various techniques such as feature extraction, feature transformation, feature splitting, feature selection, outlier treatment, missing value imputation, handling of imbalanced data, feature scaling, etc.
Data Cleaning
Proficient in several data cleaning methods such as removal of irrelevant values, elimination of duplicate data, correction of typos(spelling errors,etc.), conversion of data types and transformation of missing data.
Data Preprocessing
Expertise in transforming raw data into a well organized and understandable format. Consummate in several methods of data transformation like normalization and data type conversion.
Exploratory Data Analysis
Dexterous in Exploratory Data Analysis (EDA) techniques to derive actionable insights from complex datasets. Skilled in data visualization, statistical analysis, and pattern recognition to uncover trends and anomalies. Experience in using tools such as Python, Pandas, Matplotlib, Plotly, and Seaborn to preprocess and analyze data, facilitating informed decision-making and data-driven strategies.
Data Visualization
Skillful in plotting a wide variety of visualizations like charts, plots and statistical figures using Python libraries such as Matplotlib, Seaborn, Plotly and Bokeh. Accomplished in developing dashboards and stories using Tableau.
Data Storytelling
Adept at presenting reports and presentations to business stakeholders and company management.
Time Series Analysis & Forecasting
Demonstrated expertise in Time Series Analysis and Forecasting, leveraging advanced statistical methods and machine learning algorithms to extract meaningful insights from temporal data. Proven ability to analyze historical trends, identify patterns, and build accurate predictive models for future trends. Experienced in time series data preprocessing, feature engineering, and model validation to ensure robust and reliable forecasts. Proficient in utilizing tools such as Python for time series analysis, and adept at translating complex findings into actionable business recommendations. Successful track record of applying time series forecasting techniques to optimize decision-making processes and contribute to data-driven strategies.
Machine Learning
Competent in machine learning and data analysis, with expertise in implementing and deploying predictive models. Skilled in utilizing Python and popular libraries (e.g., TensorFlow, scikit-learn) to develop and optimize algorithms. Experienced in data preprocessing, feature engineering, and model evaluation. Strong understanding of statistical concepts and a proven ability to translate complex insights into actionable business recommendations. Familiarity with cloud platforms and a commitment to continuous learning in the rapidly evolving field of machine learning.
Deep Learning
Proficient in developing and implementing deep learning models using frameworks such as TensorFlow and PyTorch. Strong foundation in neural network architectures, including convolutional and recurrent networks. Experienced in model optimization, hyperparameter tuning, and deployment to production environments. Skilled in leveraging deep learning for computer vision, natural language processing, and predictive analytics. Continuous learner committed to staying abreast of the latest advancements in deep learning and artificial intelligence.
Natural Language Processing (NLP)
Skillful in developing and implementing NLP solutions for tasks such as sentiment analysis, named entity recognition, and text summarization. Skilled in using popular NLP libraries and frameworks, including NLTK, spaCy, and Transformers. Strong background in machine learning and deep learning techniques for language understanding and generation. Experienced in preprocessing and feature engineering for optimizing NLP model performance. Adept at collaborating with cross-functional teams to deliver innovative and impactful solutions in the field of natural language processing.
Computer Vision
Dexterous in computer vision with expertise in developing and implementing image processing algorithms and deep learning models. Skilled in feature extraction, object detection, image segmentation, and image classification. Experience in using popular computer vision libraries such as OpenCV and deep learning frameworks like TensorFlow and PyTorch. Strong foundation in image preprocessing, data augmentation, and model optimization. Proven ability to apply computer vision techniques to solve real-world problems and enhance system functionality.
MLOps
Demonstrated expertise in MLOps, seamlessly bridging the gap between machine learning development and operational deployment. Proficient in designing end-to-end machine learning pipelines, ensuring scalability, reproducibility, and continuous integration. Skilled in containerization using Docker, orchestration with Kubernetes, and leveraging cloud platforms such as AWS or Azure for efficient model deployment and monitoring. Adept at implementing CI/CD processes to automate model testing and deployment, enhancing the agility and reliability of machine learning workflows. Strong collaboration and communication skills with cross-functional teams, enabling the smooth integration of machine learning solutions into production environments.
Testimonials
Contact
Location:
3/57, Ground Floor, Street No. 3, Nirankari Colony, Delhi-110009
Email:
sayamk565@gmail.com
Call:
+91 9810734544