Bushra Khanam

Bushra Khanam

$5/hr
Aspiring Data Analyst with expertise in Data Analysis, AWS, and ML gained through 2023 internships.
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
26 years old
Location:
Bidar, Karnataka, India
Experience:
1 year
BUSHRA KHANAM Bidar |- |-| LinkedIn:https://www.linkedin.com/in/bushra-khanam05/ | DATA ANALYST CAREER OBJECTIVE: Seeking an opportunity to gain hands-on experience as a Data Analyst, where I can utilize my analytical and technical skills. I am eager to contribute to the success of the company while learning from experienced professionals. My goal is to apply my data analysis skills and gain valuable experience in the field. Data analyst aspirant seeking entry-level role to apply skills and learn. EDUCATION: University: Visvesvaraya Technological University Course: B.E [Computer Science & Engineering] University: Department of Pre-University Education Course: PUC [12th] University: Karnataka Secondary Education Examination Board Course: SSLC [10th] EXPERIENCE: MACHINE LEARNING INTERN APR/2023-NOV/2023 BLOCKAPP.AI Worked on diverse tasks covering Natural Language Processing (NLP), Image Processing, Model Building, Object Detection, Data Analysis, and Data Visualization. Gained hands-on experience in working with various Machine Learning frameworks and libraries, including ScikitLearn, PyTorch, and TensorFlow. Successfully contributed to projects that involved tackling challenges in NLP and image processing, showcasing adaptability to different domains within Machine Learning. Demonstrated strong analytical skills through data analysis tasks, contributing valuable insights for decisionmaking. Actively participated in the end-to-end machine learning pipeline, from data preprocessing to model building and evaluation. Collaborated effectively within a team environment, meeting project deadlines and delivering high-quality results. Acquired a solid foundation in deep learning concepts, expanding knowledge beyond the basics. Thrived in a fast-paced work environment, handling tasks efficiently under pressure. This experience summary highlights the key skills, tasks, and achievements during your internship, providing a comprehensive overview for potential employers. MACHINE LEARNING INTERN JULLY/2023-SEP/2023 LINUX WORLD / JAIPUR During my internship at Linux World Private Limited, I served as a Team Leader, leading a group of 7 co-trainees in executing projects focused on Chat-GPT prompt generation, Computer Vision, and NLP. I spearheaded Chat-GPT prompt engineering for innovative image recognition solutions, utilizing advanced models with LSTM and classification techniques. One key project involved developing a Sentiment Analysis system using Python for data preprocessing, feature extraction, and model training. I outlined future scope, including multilingual sentiment analysis and real-time analysis from social media streams. The experience enhanced my leadership, NLP, Machine Learning, project management, and Python programming skills, contributing to cutting-edge solutions in NLP and image recognition. This project enhanced my Soft skills like team handling and Communication. and Technical skills like AI Prompt generation for optimizing productivity in projects and research, did Hands-on on projects and learned Basics of NLP during the training. AWS INTERN June/2023-July/2023 LINUX WORLD / JAIPUR During my enriching AWS internship, I mastered cloud computing, focusing on AWS services like Amazon Redshift for data warehousing and Amazon EC2 for scalable computing. I explored real-time analytics with Amazon Elasticsearch Service and delved into business intelligence using Amazon Quick-Sight. Highlights: Implemented AWS API Gateway and Kinesis Data Stream for diverse data ingestion. Utilized AWS Kinesis Firehose for improved data delivery and transformation into Amazon S3. Configured Snow-pipe in Snowflake for continuous data ingestion from Amazon S3. Monitored the pipeline with AWS Cloud Watch for performance optimization. Leveraged AWS Lambda for server-less execution, processing real-time streaming data. This Project Enhanced my understanding various Services provided by AWS and gave me an opportunity to do hands-on with AWS services like Lambda, Cloud-Watch, Kinesis Family, EC2 and many more. DATA ANALYST & DATA SCIENCE INTERN MAY/2023-JUlly/-DigiTMG / BANGALURU During my internship as a Data Analyst intern, I completed a real-time project titled "Medicine Inventory Optimization." Highlights include: Analyzed medicine inventory data using Python and PostgreSQL, extracting actionable insights that led to a 20% reduction in stock outs and a 15% increase in inventory turnover. Created data visualizations to share insights with stakeholders. Found patterns and trends in the data to improve medicine inventory optimization. Finished the medicine inventory optimization project, which reduced inventory costs by 10%. This project enhanced my skills in EDA, data processing, SQL querying, and Python programming. It provided handson experience in a real-world data analyst role, contributing to the optimization of medicine inventory. TECHNICAL SKILLS: Programming languages: Python, SQL Data analysis tools: Power BI, Excel AWS: – EC2, Lambda, Cognito, API Gateway, Amplify, Cloud Watch, IAM, SNS, Lambda, Kinessis Family, S3 Bucket. Machine learning libraries: Scikit-learn, TensorFlow, PyTorch, Numpy, Pandas SOFT SKILLS: Communication Teamwork Proven track record of solving problems creatively and efficiently Skill in using data to draw insights and make informed decisions Ability to focus on and accurately complete tasks CERTIFICATIONS AND ACHIEVEMENT: Got A year license of Google Analytics Certification from Skillshop Certified from Analytics Academy in Advanced Google Analytics Certified from Analytics Academy in Beginners Google Analytics Completed the Python Programming Essentials from LetsUpgrade Built a Face Recognition Application using Python and got certified by GUVI and IITM Research Park. Endorsed a college application as a front-end developer. Got Felicitated By DC sir for being selected In the top 50 Projects in KSCST
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