Aug 2023 – Jul 2024 · 11 mos · On-site

• currently working on auto ml , bert and gpt4 ,gpt4 turbo,gpt vision,prompt flow

Aug 2023 – Jul 2024 · 11 mos · On-site

May 2022 – Aug 2023 · 1 yr 3 mos · Ahemdabad · On-site

• Applied the Agile and (SDLC) software development process to establish a business analysis methodology.
• Developed Python scripts for data pre-processing, Exploratory Data analysis, Feature Extraction, Machine learning models to perform Regression and time series analysis.
• Participated in all phases of data mining, data collection, data cleaning, developing models and validation.
• Perform sentiment analysis using Naïve Bayes algorithm and gathering insights from large volume of unstructured/text data.
• Developing NLP with Deep Learning algorithms for analysing text, improving over their existing dictionary-based approaches.
• Involved in Application of various machine learning algorithms and statistical modeling like Regression, Random Forest, Association Rules, Support Vector Machine, Logistic Regression, k-Means, Clustering, Classification, SVM, KNN using python, and R.
• Developed Tableau Data visualizations using heat maps, box charts, scatter plots, geographic charts and density charts to create detail level summary reports and dashboards.

Jan 2021 – May 2022 · 1 yr 4 mos · Delhi, India · Remote

• As a Data scientist on Upwork, I have worked on a variety of projects with clients from diverse industries. I am proficient in data manipulation, statistical analysis, and machine learning techniques.
• Some of my responsibilities include data preprocessing, exploratory data analysis, developing predictive models, and presenting insights and recommendations to clients. I have experience working with large datasets, and I am comfortable using tools such as Python, R, SQL, and Tableau.
• In addition to technical skills, I am also adept at communicating complex concepts to clients in a clear and concise manner. I am a self-starter and able to work independently but also enjoy collaborating with teams to deliver high-quality results.

Aug 2020 – Jul 2021 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• During my training, I gained practical experience in data preprocessing, exploratory data analysis, feature engineering, and model selection. I worked with large datasets and leveraged various machine learning techniques such as regression, classification, clustering, and deep learning to develop predictive models.
• In addition to technical skills, I developed the ability to communicate complex concepts to both technical and non-technical stakeholders. I collaborated closely with my team to ensure the accuracy and effectiveness of the models, while also providing insights and recommendations based on the results.
• Overall, my experience as a data scientist intern at Applied AI has equipped me with valuable skills and knowledge and has reinforced my passion for using data-driven approaches to solve real-world problems.

Dec 2019 – May 2020 · 5 mos · Solan, Himachal Pradesh, India · On-site

• As a quality engineer at DSP Precision Products Pvt. Ltd., I was responsible for ensuring that the company's products met the highest quality standards.
• My role involved developing and implementing quality control procedures and processes, performing inspections and tests on incoming materials and finished products, and identifying and resolving quality-related issues. I worked closely with cross-functional teams including production, design, and customer service to maintain high levels of quality throughout the product lifecycle.
• In addition, I collaborated with suppliers and vendors to ensure that their products and services met our quality requirements. I also conducted training sessions to educate employees on quality control procedures and best practices.

Feb 2019 – Jun 2019 · 4 mos · Mandi, Himachal Pradesh, India

• As a project engineer at IIT Mandi, I worked on a machine learning project aimed at studying the Uttarakhand catastrophe.
• My role involved working closely with a team of researchers and data scientists to collect and analyze data related to the disaster, including weather patterns, topography, and geological data. We used machine learning techniques to develop predictive models that could help identify areas at risk for future disasters, and to provide recommendations for disaster management strategies.

Jul 2018 – Feb 2019 · 7 mos · Chandigarh, India

• i used to work as mechanical trainer for this company

Jan 2015 – Feb 2018 · 3 yrs 1 mo

• Training for 6 months