Aryan
Bengaluru, Bangalore Division, Karnataka, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Java, Matplotlib, MySQL, NumPy, pandas, Python3, R, scikit-learn
Previously worked at: Startups
Assessment Score: 75
- Strong Academic Background in Information Science Engineering
Completed B.Tech in Information Science and Engineering from Presidency University, Bengaluru, with a CGPA of 8.04. Demonstrates consistent academic excellence with 83.44% in Class XII from Vivekananda Pre-University College and 73.44% in Class X from St. Mira’s High School. - Professional Experience in Research and Development
Worked as a Research Intern at La Trobe University, Melbourne, focusing on Split Learning implementations using PyTorch and MNIST datasets. Currently interning as an SDE at FormulaQ, contributing to integrations between Salesforce and accounting software while developing a financial integration platform, FinancesonSF. - Project Experience in Machine Learning and Data Visualization
Accomplished projects like Fetal Distress detection using cardiotocography data, a CNN for blood cell classification, and predictive models for heart disease risk. Published research papers on query evaluation and fetal distress detection in UGC-approved journals. Proficient in visualizing datasets such as fuel data and Indian immigrant statistics using Python and R. - Comprehensive Technical Skill Set
Proficient in Python, R, Java, and SQL, with expertise in statistical concepts, machine learning frameworks (Pandas, NumPy, Matplotlib, ggplot, scikit-learn, dplyr), and big data tools like Hadoop (MapReduce, HDFS). Adept at applying mathematical foundations, including calculus, in neural network backpropagation. - Strong Communication and Problem-Solving Abilities
Demonstrates the ability to convey complex ideas in simple terms, ensuring clarity and understanding. Experienced in applying statistical and analytical approaches to derive insights and solve real-world problems. - Passionate About Research and Development
Committed to continuous learning, with a focus on leveraging data science, machine learning, and visualization techniques to address complex challenges and deliver impactful solutions. Active on GitHub and LinkedIn, showcasing work and engaging with professional communities.