Satyam Mishra
Noida
Summary
Insightful Data Scientist recognized for high productivity and efficient task completion. Skilled in machine learning, big data analytics, and statistical modeling to deliver actionable insights. Strong in communication, problem-solving, and teamwork, enabling successful collaboration across departments to drive projects to completion. Results-oriented individual with a passion for continuous learning and innovation. Known for leveraging analytical thinking and creativity to solve problems and deliver high-impact solutions in fast-paced environments.
Overview
1
1
Certification
Work History
Data Scientist
TechVidya Education
Noida
04.2024 - Current
- As a data scientist, my role involves utilizing data to extract meaningful insights and support decision-making processes for organizations. Here’s a breakdown of what I typically do in this capacity:
1. Data Collection and Preparation. - I work with raw data from various sources, such as databases, APIs, and CSV files, and then clean and preprocess it to ensure accuracy, completeness, and consistency.
- Handling missing data, outliers, and data normalization are part of this process to make the data ready for analysis.
2. Exploratory Data Analysis (EDA) - Once the data is prepared, I perform exploratory data analysis (EDA) to identify patterns, trends, and relationships within the data.
- Tools like Python (Pandas, Matplotlib, Seaborn), or Power are used to generate visual insights.
- Statistical summaries, such as mean, median, standard deviation, and correlations, are calculated to gain an understanding of the data.
3. Feature Engineering. - I create new features or transform existing features to improve the performance of predictive models.
- This includes generating dummy variables, encoding categorical data, and creating time-based features in time-series analysis.
4. Model Building and Evaluation - I use machine learning algorithms to build predictive or classification models. Depending on the project, I may use algorithms like Linear Regression, Decision Trees, Random Forest, K-Means clustering, or Neural Networks.
- After training the model, I evaluate its performance using metrics like accuracy, precision, recall, F1-score, or AUC-ROC curve depending on the task (e.g., classification vs.). regression).
5. Data Visualization - I visualize the data and model outputs using Power BI, Matplotlib, or Seaborn to communicate insights effectively to stakeholders.
- Building dashboards that update in real-time is also part of this, especially when stakeholders need ongoing updates based on the data.
6. Reporting and Communication - After the analysis, I prepare detailed reports and presentations summarizing the findings.
- I communicate complex statistical findings in a way that non-technical stakeholders can understand and use to inform their business strategies.
7. Automation and Optimization. - In some projects, I implement automation scripts using Python to continuously monitor and analyze new incoming data.
- Optimizing data pipelines for efficient data processing and modeling is also part of my work.
8. Tools and Technologies: - Python for data manipulation (Pandas), machine learning (Scikit-learn), and visualization (Matplotlib, Seaborn).
- Power BI for creating interactive and user-friendly dashboards.
- MySQL for data retrieval and management.
Cloud platforms for deploying machine learning models or storing large datasets, like AWS or Azure.
Education
Bachelor of Computer Applications - Computer And Information Sciences
Manipal University
Jaipur04-2022
High School Diploma -
Panchsheel Balak Inter Collage
Sector 91 Noida 04-2022
Skills
- Statistical Analysis
- Data Mining
- Machine Learning
- BI tools expertise
- Python Programming
- Deep learning
- Data Exports
- Data screening
- Dashboard creation
- Database Administration
- Data Modeling
- Business Intelligence
- Oracle platform proficiency
- Data Validation
- SQL reporting
- Python
- Object-Oriented Programming
- Multithreading
- Project Management
- Data Visualization
- Library design
- Databases: Oracle, MongoDB
Languages
Hindi
First Language
English
Intermediate (B1)
B1
Certification
- Google Data Analytics Professional Certificate - Google.
- Python Institute Certifications (Entry-Level Python Programmer Certification PCEP, etc.) – OpenEDG Python Institute.
- MongoDB Certified Developer, Associate Level – MongoDB Inc.
Timeline
Data Scientist
TechVidya Education
04.2024 - Current
Bachelor of Computer Applications - Computer And Information Sciences
Manipal University
High School Diploma -
Panchsheel Balak Inter Collage