Inspiring innovation and growth through creative brand storytelling and transformative data education.

As a Google Accelerator Mentor I am working towards helping startups grow and improve their products/ services.Skills : Mentoring • Artificial Intelligence • Communication • Open source • OKRs

- I am a Director at AI4Diversity Sweden. - AI 4 Diversity is the fastest-growing nonprofit global initiative that engages and educates diverse communities about AI to benefit global society. - We believe AI makers need to be from diverse backgrounds to provide equal opportunities to everyone. ​ - Our mission is to increase a more diverse representation and participation in AI. ​- We are a community-driven initiative bringing empowerment, knowledge, and active collaboration via education, research, events, and blogging.Skills : Leadership • Non-Profit • Open source • Artificial Intelligence • Community Development

- Nova Talent is a global by-invitation talent network comprising the top 3% of talents in their fields from over 72+ countries. - Nova allows the world's most talented professionals and students to share, learn, and connect with forward-thinking businesses in order to find their dream employment. - All Nova members were chosen through a rigorous selection procedure that emphasised personal traits as well as professional and academic achievements.

- Adage is a data analytics consultancy specialising in helping customers build data and analytics capabilities that allow them to digitalize from within.- I am working towards adoption of data driven solutions and creating opportunities for data analytics in real life open-ended business problems.

Working as a backend data engineering consultant. Skills: Python · SQL · Big data · Databricks · Apache Spark · Microsoft Azure · Data Engineering · Data Warehousing

- Analyzing climate change adaptation and sustainable development using AI. - Developing AI-driven systems for carbon sequestration measurement. Creating innovative AI-driven carbon reduction systems to enable true reduction activities and to achieve the net-zero carbon goal. - Analyzing the change in forest carbon and its correlation with different types of forestry techniques. - Performing ecological assessments for climate neutrality goals for several different sectors including agriculture and forestry, energy, biotechnology, and water ecosystems.

- Earthbanc is the world's first Carbon & ESG Reporting provider, that delivers Sustainable Finance AI advisory products and services to banks, financial institutions and asset managers, with a high degree of confidence propagation with bayesian neural networks.- As the head of Artificial Intelligence at Earthbanc, my roles include implementing Artificial Intelligence and Machine Learning techniques for remote sensing for verification of carbon sequestration. - I work with data collection using GIS (Geographical Information Systems), data pre-processing and building & testing of predictive model using AI and ML algorithms.- Also working towards Sustainable Development Goals (SDGs) such as climate change, no poverty, gender equality, zero hunger, decent work and economic growth, reduced inequalities and life on land.

- A technology/career mentor at the Women Developer Academy Europe. - The goal is to equip women in tech with the skills, resources and support they need to become leaders in the industry through public speaking and other community contributions.

- Building a deep learning model employing Convolutional Neural Network (CNN) to predict clinical outcomes after shoulder arthroplastery.- The model employs minimal dataset and minimum number of features. - This model aims to predict the red flags (when the operation should not be performed), which equates to the progress being lesser than the MCD.

- Implemented Bayesian Confidence Propagation Neural Network (BCPNN) & sequence learning in a non-spiking attractor neural network. - Analysed the behaviour of non-orthogonal sequences as well as implemented representation and sequential overlapping on the BCPNN model. - Presented that the proposed network model will be able to encode and reproduce temporal aspects of the input, and offers internal control of the recall dynamics by gain modulation.

- Bachelor's Thesis between KTH Royal Institute of Technology and PES University on Computational Neuroscience using BCPNN algorithm. - Studied how we process thoughts in the brain and why people lose memory in diseases like Amnesia and Dementia. - Studied and analysed overlapping sequences in the brain.

- Worked on implementation of Non-Thermal Plasma in Environmental Remediation by performingNOxTreatment.- Studied and analysed different types of electric discharges.

- Internship between PES University and Indian Space Research Organisation. - Was involved in the lauch of one of the first all student satellites in India. - Worked on the attitude determination and the control system (ADCS) of the of PISAT satellite andimplemented Q-method, QUEST and TRIAD algorithms for 3-axis attitude determination.- Worked on statistical analysis in open loop condition.