About
- Internship: Actively Seeking Data Engineering Internship Spring 2024
- Website: saikoushik.github.io
- Phone: +1 (669)222-9587
- City: Boston, USA
- Degree: Masters in Data Analytics Engineering
- College: Northeastern University, Boston
- Email: saikoushik.gsk@gmail.com
- Age: 23
Projects Delivered End-to-End Machine Learning, Deep Learning Projects Delivered
Years of Data Science Machine Learning, Deep Learning
Awards & Certifications Data Science programs
Services
Statistical Modelling:
- Proficient in applying advanced statistical modeling techniques to extract meaningful insights and uncover patterns in complex datasets
- Skilled in using R, Python for statistical analysis and hypothesis testing
- Experienced in multivariate analysis, regression analysis, and time series analysis to uncover relationships and trends in data
- Expertise in experiment design for hypothesis validation and performance evaluation
- Capable of statistical inference to draw meaningful conclusions and make data-driven recommendations
Data Analysis:
- Extensive experience in performing exploratory data analysis (EDA) to gain insights into complex data sets
- Proficient in using advanced statistical techniques and data visualization tools such as Pandas, NumPy, Seaborn, and Tableau to identify patterns and trends
- Experienced in data wrangling, data cleaning, and feature engineering to prepare data for analysis
- Well-versed in designing and implementing machine learning models to create predictive models that can help businesses make informed decisions
Data Engineering:
- Specialize in designing, building, and maintaining robust data pipelines as a data engineer
- Understanding of distributed computing frameworks such as Apache Hadoop, Spark
- Skilled in data integration, data warehousing, and data transformation
- Experienced in building scalable, fault-tolerant systems
- Expertise in using cloud computing platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP) to build data processing pipelines
- Familiarity with database technologies like MySQL, PostgreSQL, and MongoDB
Data Modeling and Dashboard Creation:
- Experience in building complex data models that can provide insights into business operations
- Proficient in using data modeling tools such as ERwin, PowerDesigner, and SQL Developer Data Modeler to design efficient and effective data models
- Experience in building interactive dashboards using tools like Microsoft Power BI, Tableau, and Google Data Studio
- Can create visually appealing and informative dashboards that can help businesses make data-driven decisions
What most professors and fellow peers like about me?
Root Cause Analysis
Out of the box ideas and approach in making their teams data literate
Being a person who can be turned to for expert knowledge, BI solutions, or reliable performance, especially in a crucial situation
Monitoring data quality
Generating and delivering quality reports to customers and performing quality assurance checks on reports.
Evaluating BI software
Evaluating and improving existing BI systems and Conducting troubleshooting on BI models.
Writing relational and multidimensional database queries.
Allow users to ask analytical questions related to business or market trends.
Use Data warehouse for big data
Using warehouse data to generate reports to support business decision making and business performance monitoring.
Portfolio
I’ve gone through a number of phases in my career, and each of them has informed my current work ethos and philosophy. I have excelled in a number of data domain roles in diverse industries, and believe that my number one asset is my ability to adapt to any challenge that is thrown my way.
- All
- Machine Learning and Deep Learning
- Data Management
- Data Visualization
Resume
Download CVSumary
Sai Koushik Gandikota
Experienced data analyst with a strong background in statistical analysis, data visualization, and machine learning. Skilled in various programming languages and data analysis tools. Proven ability to communicate complex findings to both technical and non-technical stakeholders. Highly motivated and eager to continue expanding skills and knowledge in the field of data science.
- Currently pursuing Masters in Data Analytics Engineering from Northeastern University, Boston.
- I completed my Bachelor of Technology in Computer Science Specialization on Data Analytics from Vellore Institue of Technology in 2022.
- I have worked in areas like data analysis, data visualization, statistical analysis, machine learning pipeline, natural language processing, deployment. I am detail oriented team player with fluent communication skills.
- I am inquisitive towards the latest technologies in machine learning and data science, Seeking a job where he can enrich his knowledge and contribute to the ML community.
Education
Master of Science (MS) in Data Analytics
2022 - 2024
Northeastern University, Boston
Grade:3.96/4.0
Relevant Coursework: Data Mining, Data Management for Analytics, Computation & Visualization, Engineering Probability & Statistics
Bachelor of Science in Computer Science Engineering specialization in data analytics
2018 - 2022
Vellore Institue of Technology
Grade: 3.8/4.0
Relevant Coursework: OOPs, Data Structures, Algorithms, Computer Networks, Operating Systems, Database Management, Computer Architecture, Mathematics
Professional Experience
Data Analyst Intern
Jan 2022 - Jun 2022
Hyderabad, India
- Developed and optimized a highly efficient data pipeline using Python and SQL, resulting in a 50% reduction in data processing time and allowing for real-time analysis and decision-making
- Leveraged advanced data analytics techniques to identify key customer segments and develop highly targeted marketing campaigns, resulting in a 25% increase in revenue and a 40% increase in profitability
- Engineered 4 interactive dashboards and 13 KPIs using Power BI, resulting in a 20% increase in data-driven decision-making and a 15% increase in project growth
- Fostered a culture of data-driven decision-making by effectively communicating findings and recommendations, leading to a 15% increase in successful project outcomes
Skills
Contact
Data is only as useful as your ability to understand it correctly, and a team that understands data makes better data-driven decisions. I can help in selecting the right tool and build solutions for data interpretation. Let's get in touch!
Location:
50 Evergreen St, Boston, MA 02130
Email:
saikoushik.gsk@gmail.com
Call:
+1 669 222 9587